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How to Stop Unneeded Medical Tests (Video)

How should physicians respond to patients who request unnecessary medical tests? Here are some tips.

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Healthcare Matters sits down with Dr. Richard Anderson, chairman and CEO of the Doctors Company. In part 2 of this series, we discuss how physicians should address patient requests for unneeded medical tests, which are unnecessary or excessive.

Richard Anderson

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Richard Anderson

Richard E. Anderson is chairman and chief executive officer of The Doctors Company, the nation’s largest physician-owned medical malpractice insurer. Anderson was a clinical professor of medicine at the University of California, San Diego, and is past chairman of the Department of Medicine at Scripps Memorial Hospital, where he served as senior oncologist for 18 years.


Erik Leander

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Erik Leander

Erik Leander is the CIO and CTO at Cunningham Group, with nearly 10 years of experience in the medical liability insurance industry. Since joining Cunningham Group, he has spearheaded new marketing and branding initiatives and been responsible for large-scale projects that have improved customer service and facilitated company growth.

The Insurance Renaissance, Part 2

"The sector is in for its biggest shakeup in 100 years as investors continue to pump billions of dollars into InsurTech."

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A few weeks ago, in our opening blog series on the Insurance Renaissance, we discussed how the climate of change we saw in the Renaissance of the 1400s holds lessons for the current state of insurance. In both periods, we see the epicenters of change and innovation. For insurers, the Renaissance is more than an analogy. It represents a real pattern of cultural shift with insurance business implications. Its hallmarks are now repeating themselves. For example, today we see digital use and globalization as potent business drivers. If global barriers to communication hadn’t fallen, and new technologies hadn’t become so prevalent, it is unlikely that we would be in the midst of such groundbreaking change. The lowering of barriers during the Renaissance brought about similar change. During its beginnings, Florence was in the midst of a trading boom that brought new money, goods and ideas into the region from Western Europe, Greece, Arabia, Egypt, Persia and China. Banks grew. Florence became the financial center of Italy and the broader region. Trade routes reduced provincial barriers. Shipping improved. A system of insurance was even in practice, protecting Italian cargoes on their voyages as early as 1300. These cultural crossings (networks!) resulted in leaps forward in art and science. Ideas were currency just as important as textiles and spices. Innovations in practical sciences, such as mathematics and architecture, benefited from broader thinking. It was funded and driven by the new wealthy — a trading class that hadn’t previously existed in quite the same way. Today, we are seeing a similar influx of money and a new class of insurance technology investment. The Sydney Morning Herald, covering a report on disruption by PwC, recently stated it this way: “The insurance industry has largely remained the same in the past 100 years, but the sector is in for its biggest shakeup as investors continue to pump billions of dollars into 'insurtech,' fueling sweeping changes through technology. "Insurance is the second-most disrupted industry today thanks to a growing number of start-ups and technology companies eyeing slices of the insurance pie.” So, where insurers previously may have had great ideas, they now have ideas + technology (InsurTech) + financial resources + people/talent to pursue their ideas. At the same time, with no barriers to access, no legacy systems to hold them back and access to robust insurance cloud platforms, start-ups and greenfields from within and outside the industry are becoming new, innovative players. For organizations that wish to remain competitive, the questions then become: How do we adapt with ease to the change and disruption? Can we reimagine the possibilities of doing things differently? What do we need to do technologically to seize the opportunities in a shifting market? The new pursuit of agility, innovation and speed Business innovation and digital readiness is a real, palpable, bankable asset. Organizations that plan to fuel their own growth, create partnerships and generate innovative products need to quickly consider and shift gears to transform to the digital age, highlighted in our Future Trends: A Seismic Shift Underway report. Simplifying environments to bring consumers closer to service and closer to the point of sale will help. Modernizing environments to generate and test products faster is vital. Transforming business operations, using data for continual improvement and opening every available channel are goals worth setting. To thrive, large or small, the new organization needs agility so that it can quickly capitalize on the innovative ideas found by mixing itself in the marketplace. Insurance, once somewhat isolated, is now becoming part of the digital mix. Like adding an Indian voice track to a French pop tune with a rap beat, the results can be pretty hip. Where can insurers find inspiration in the cross-industry digital mix? How do they spontaneously get inspired? The short answer is, “Look around.” But the real answer is, “Look nearly anywhere, and you will find innovation.” Genius moments happen most often in environments where groups of people are in touch with industries, geographies, technologies and groups outside of their own environments. Those groups include, of course, consumers. Looking at consumer purchase patterns across all industries will give insurers a new view of how to reach them. For example, recent Google research found that nearly 20% of smartphone users research or purchase products while they are in bed in the morning or evening. Mix this fact with the idea that consumers are also looking for multiple quotes and good information on insurers and you can understand how mobile-ready aggregators (such as PolicyGenius) are on the rise. Urbanites who seldom drive don’t want to pay high auto premiums. They might rather opt out of driving altogether. Mix that trend with telematics capabilities, and a pay-per-mile insurance product (such as MetroMile) makes tremendous sense. It doesn’t take real genius to see genius opportunities. It just takes time spent observing customer and market trends and marrying those trends to technological capabilities. Customers are also increasingly moving their retail purchases to online purchases. That’s great news for insurers who have never been terrifically suited for retail-type sales anyway. What insurers need is face time at the right time, when someone recognizes his or her need for it. Hence, we see insurers increasingly partnering with companies that can buy them face time with products that match up with timely needs. Digital capabilities, integrated data capabilities and agile administration will all assist insurers as they reach into the mix to find their unique niche of opportunities. The same InsurTech that is causing the formation of insurance start-ups and is funded by venture capital is available to traditional insurers. In many or most cases, established insurers are in a better position to capitalize on it by simply prioritizing their need for innovation — deciding that their organizations will be centers of innovation. See Also: The 5 Charts on Insurance Disruption Insurers can tap into further ideas by looking at product trends in foreign countries, tapping into the expertise of technology partners, working cooperatively with universities to hold innovation days, partnering with companies outside the industry like automotive, retail and more and spending concerted time looking at the road ahead. In all these cases, insurers will find innovative encouragement by inviting ideas from outside the organization to transform the culture and ultimately the business. After all, it is the Renaissance within each individual insurance company that will provide innovation, excitement and opportunity to compete. So pursue agility, innovation and speed … and join the Insurance Renaissance rapidly unfolding.

Denise Garth

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Denise Garth

Denise Garth is senior vice president, strategic marketing, responsible for leading marketing, industry relations and innovation in support of Majesco's client-centric strategy.

Confusion Reigns on Predictive Analytics

Workers' comp claims data can be used to rank-order physicians' performance and quickly identify outliers.

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It seems everyone in workers’ compensation wants analytics. At the same time, a lot of confusion persists about what analytics is and what it can contribute. Expectations are sometimes unclear and often unrealistic. Part of the confusion is that analytics can exist in many forms. Analytics is a term that encompasses a broad range of data mining and analysis activities. The most common form of analytics is straightforward data analysis and reporting. Other predominant forms are predictive modeling and predictive analytics. Most people are already doing at least some form of analytics and portraying their results for their unique audiences. Analytics represented by graphic presentations are popular and often informative, but they do not change behavior and outcomes by themselves. See Also: Analytics and Survival in the Data Age Predictive modeling uses advanced mathematical tools such as various configurations of regression analysis or even more esoteric mathematical instruments. Predictive modeling looks for statistically valid probabilities about what the future holds within a given framework. In workers’ compensation, predictive modeling is used to forecast which claims will be the most problematic and costly from the outset of the claim. It is also the most sophisticated and usually the most costly predictive methodology. Predictive analytics lies somewhere between data analysis and predictive modeling. It can be distinguished from predictive modeling in that it uses historic data to learn from experience what to expect in the future. It is based on the assumption that future behavior of an individual or situation will be similar to what has occurred in the past. One of the best-known applications of predictive analytics is credit scoring, used throughout the financial services industry. Analysis of a customer’s credit history, payment history, loan application and other conditions is used to rank-order individuals by their likelihood of making future credit payments on time. Those with the highest scores are ranked highest and are the best risks. That is why a high credit risk score is important to purchasers and borrowers. Similarly, workers’ compensation claim data can be collected, integrated and analyzed from bill review, claims system, utilization review, pharmacy (PBM) and claim outcome information to score and rank-order treating physicians' performance. Those with the highest rank are the most likely to move the injured worker to recovery more quickly and at the lowest cost. Both predictive modeling and predictive analytics deal in probabilities regarding future behavior. Predictive modeling uses statistical methods, and predictive analytics looks at what was, is and, therefore, probably will be. For predictive analytics, it is important to identify relevant variables that can be found in the data and take action when those conditions or events occur in claims. One way to find critical variables is to review industry research. For instance, research has shown that, when there is a gap between the date of injury and reporting or the first medical treatment, something is not right. That gap is an outlier in the data that predicts claim complexity. Another way to identify key variables is to search the data to find the most costly cases and then look for consistent variables among them. Each book of business may have unique characteristics that can be identified in that manner. Importantly, predictive analytics can be used concurrently throughout the course of the claim. The data is monitored electronically to continually search for outlier variables. When predictive outliers occur in the data, alerts can be sent to the appropriate person so that interventions are timely and more effective. For example, to evaluate medical provider future performance, select data elements that describe past behavior. Look at past return-to-work patterns and indemnity costs associated with providers. If a provider has not typically returned injured workers to work in the past, chances are pretty good that behavior will continue. For organizations looking to implement analytics, those who have already made the plunge suggest starting by taking stock of your organization’s current state. “The first thing you need to know is what is happening in your population,” says Rishi Sikka, M.D., senior vice president of clinical transformation for Advocate Health Care in Illinois. “Everyone wants to do all the sexy models and advanced analytics, but just understanding that current state, what is happening, is the first and the most important challenge.” The accuracy and usability of results will depend greatly on the quality of the data analyzed. To get the best and most satisfying results from predictive analytics, cleanse the data by removing duplicate entries, data omissions and inaccuracies. For powerful medical management informed by analytics, identify the variables that are most problematic for the organization and continually scan the data to find claims that contain them. Then send an alert. Structuring the outliers, monitoring the data to uncover claims containing them, alerting the right person and taking the right action is a powerful medical management strategy.

Karen Wolfe

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Karen Wolfe

Karen Wolfe is founder, president and CEO of MedMetrics. She has been working in software design, development, data management and analysis specifically for the workers' compensation industry for nearly 25 years. Wolfe's background in healthcare, combined with her business and technology acumen, has resulted in unique expertise.

The Myth of the Protection Gap

If you look at the protection gap from the customer standpoint, there isn't a gap. We're just kidding ourselves.

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A friend and colleague, Chunka Mui, once said, "Marketing is when a company lies to its customers. Market research is when a company lies to itself."

In the insurance industry, talk of the protection gap manages to combine both problems: It's something of a lie to customers and is an even bigger lie to ourselves.

People routinely talk about the protection gap -- the difference between losses incurred and the amount that are covered by insurance -- as though the number shows how much more insurance people and organizations should be buying. We comfort ourselves with the size of that number, because we think it represents opportunity for us. We also, frankly, get a little condescending about the people and organizations that aren't bright enough to buy our product to cover their losses.

But if you look at it from the customer standpoint, there isn't a gap. We're just kidding ourselves.

To make the math simple, let's pick a country at random and make up some numbers out of whole cloth. Let's imagine we're Gabon, and we, as a nation, incur $1.5 billion of losses a year, while only $500 million is covered by insurance. We're told we have a protection gap of $1 billion. We should buy $1 billion of additional coverage.

It'll only cost us $1.3 billion.

That's because -- again, in very rough numbers -- the insurer has to tack on 20% on top of the losses to cover expenses and needs its 10% profit margin to keep shareholders happy.

But why would Gabon decide to overpay by $300 million a year? The insurer's employees and shareholders are surely nice people who could use the money, but shouldn't Gabon take care of its citizens?

I understand about peace of mind and surely believe that insurance plays a crucial role in the world economy, but, from a certain perspective (one that many customers take), I'd be better off going to a casino and playing the slot machines rather than buy insurance. The casino might even throw in free drinks and a show.

Insurance needs some new math to replace the protection gap, and we need to stop acting as though it's a real thing that a customer might care about.

The first step is to cut expenses radically -- perhaps 50%. I use that number because a famous consultant/author with whom I have worked is going to argue in a book soon that every business needs to cut operating expenses by 50% within five years. I also see enough innovation happening around the edges in insurance that I think radical cost cuts are possible. For instance, at the Global Insurance Symposium in Des Moines last week, I met the founder of RiskGenius, whose artificial intelligence could automate the work of whole swaths of people at brokerages who review the constant stream of changes in policies.

But even that new math only shrinks the problem. Add half the previous expenses onto that $1 billion of insurance for Gabon, stir in the required profit, and you're still asking the country to pay $1.2 billion to cover $1 billion of losses.

The real change can only happen when insurance gets out of its product mindset and shifts to a service mentality. Then someone could go to Gabon and say, "Our insurance company knows an awful lot about how losses occur. How about if we advise your government, your companies and your citizens and help you prevent as many as we can?"

Then, perhaps, you shrink those losses by a third -- and keep some of that difference as profit. If you still take that whack at expenses, you could tell Gabon: "We'll take responsibility for your $1.5 billion of losses (both the insured and the uninsured), and it'll only cost you $1.25 billion. You'll come out $250 million ahead, while we cover all our expenses and earn $100 million profit."

That $250 million gain is the kind of gap a customer will believe in.


Paul Carroll

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Paul Carroll

Paul Carroll is the editor-in-chief of Insurance Thought Leadership.

He is also co-author of A Brief History of a Perfect Future: Inventing the Future We Can Proudly Leave Our Kids by 2050 and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of a best-seller on IBM, published in 1993.

Carroll spent 17 years at the Wall Street Journal as an editor and reporter; he was nominated twice for the Pulitzer Prize. He later was a finalist for a National Magazine Award.

FinTech: Epicenter of Disruption (Part 4)

The Economist says most executives (54%) ignore the challenge from FinTech or talk about disruption without making any changes.

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This is the final part of a four-part series. The first article is here. The second is here. The third is here. FinTech is more than technology. It is a cultural mindset. Companies hoping to flourish need to shift their thinking to better meet customer needs, constantly track technological developments, aggressively engage with external partners and integrate digitization into their corporate DNA. To fully leverage the potential of FinTech, financial institutions (FIs) should have a top-down approach and embrace new technologies in every aspect of their businesses. Putting FinTech at the heart of the strategy The majority of our respondents (60%) put FinTech at the heart of their strategy. In particular, a high number of CEOs agree with this approach (78%), supporting the integration of FinTech at the top levels of management. Advances in technology and communication, combined with the acceleration of data growth, empower customers at nearly every level of engagement, making FinTech essential at all levels. Screen Shot 2016-04-08 at 3.02.32 PM Our survey supports this notion. Among the respondents that regard themselves as fully customer-centric, 77% put FinTech at the heart of their strategy, while, among respondents that see themselves as only slightly customer-centric, only 27% put FinTech at the same level. A smaller but still significant share of respondents disagrees with putting FinTech at the heart of their strategy (13%). This might be a business risk in the long run, as firms that do not recognize the impact of FinTech will face fierce competition from new entrants. As rivals become more innovative, incumbents might run the risk of being surpassed in their core business strengths. The share of respondents from fund transfer and payments organizations that want to put FinTech at the heart of their strategy exceeds 80%, a high proportion compared with other sectors. At the other extreme are insurance and asset and wealth management companies, where, respectively, only 43% and 45% of respondents consider FinTech to be a core element of their strategy. Screen Shot 2016-04-08 at 3.03.26 PM Adopting a ‘mobile-first’ approach Adopting a "mobile-first" approach is the key to improving customer experience. As Section 2 shows, the biggest trends in FinTech will be related to the multiple ways financial services (FS) engages with customers. Traditional providers are increasingly taking a "mobile-first" approach to reach out to consumers (e.g. designing their products and services with the aim of enhancing customer engagement via mobile). More than half (52%) of the respondents in our survey offer a mobile application to their clients, and 18% are currently developing one. Banks, 81% of which offer mobile applications, are, increasingly, using these channels to deliver compelling value propositions, generate new revenue streams and collect data from customers. According to Bill Gates, in the year 2030, two billion new customers will use their mobile phones to save, lend and make payments. Significant growth in clients using mobile applications is expected by 2020. While, currently, the majority of respondents (66%) contend that not more than 40% of their clients use their mobile applications, 61% believe that, over the next five years, more than 60% of their clients will be using mobile applications at least once a month to access financial services. Screen Shot 2016-04-08 at 3.04.51 PM Toward a more collaborative approach Whether FS organizations adopt digital or mobile strategies, integrating FinTech is essential. According to our survey, the most widespread form of collaboration with FinTech companies is joint partnership (32%). Traditional FS organizations are not ready to go all-in and invest fully in FinTech. Joint partnership is an easy and flexible way to get involved with a technology firm and harness its capabilities within a safe test environment. By partnering with FinTech companies, incumbents can strengthen their competitive position and bring solutions or products into the market more quickly. Moreover, this is an effective way for both incumbents and FinTech companies to identify challenges and opportunities, as well as to gain a deeper understanding of how they complement one another. Given the speed of technology development, incumbents cannot afford to ignore FinTech. Nevertheless, a significant minority—rather than a non-negligible share (25%)—of survey respondents do not interact with FinTech companies at all, which could lead to an underestimation of the potential benefits and threats they can bring. According to The Economist, the majority of bankers (54%) are either ignoring the challenge or are talking about disruption without making any changes. FinTech executives confirm this view: 59% of FinTech companies believe banks are not reacting to the disruption by FinTech. Screen Shot 2016-04-08 at 3.05.55 PM Integrating FinTech comes with challenges A common challenge FinTech companies and incumbents face is regulatory uncertainty. FinTech represents a challenge to regulators, as there may be a risk of an uneven playing field between the FS and FinTech companies. In fact, 86% of FS CEOs are concerned about the impact of overregulation on their prospects for growth, making this the biggest threat to growth they face. However, the problems do not correspond to specific regulations but rather to ambiguity and confusion. Industry players are asking which regulatory agencies govern FinTech companies. Which rules do FinTech companies have to abide by? And, specifically, which FinTech companies have to adhere to which regulations? In particular, small players struggle to navigate a complex, ever-increasing regulatory compliance environment as they strive to define their compliance model. Recent years have brought an increase of regulations in the FS industry, where even long-standing players are struggling to keep up. Screen Shot 2016-04-08 at 3.11.59 PM While most FS providers and FinTech companies would agree that the regulatory environment poses serious challenges, there are differences of opinion on which are the most significant. For incumbents, IT security is crucial. This highlights the genuine constraints traditional FS organizations face regarding the introduction of new technologies into existing systems. On the other hand, fund transfer and payments businesses see their biggest challenges in the differences in operational processes and business models. The complexity of processes and emerging business models, as explained in Section 1, which aim to lead the payments industry into a new era, have the potential to both disrupt and complement traditional fund transfer and payments institutions. Their challenge lies in refining old methods while pioneering new processes to compete in the long run. Just more than half of FinTech companies (54%) believe management and culture act as roadblocks in their dealings with FIs. Because FinTech companies are mainly smaller, they are more agile and flexible. And, because most are in the early stages of development, their structures and processes are not set in stone, allowing them to adapt more easily and quickly to challenges. Screen Shot 2016-04-08 at 3.13.04 PM Conclusion Disruption of the FS industry is happening, and FinTech is the driver. It reshapes the way companies and consumers engage by altering how, when and where FS and products are provided. Success is driven by the ability to improve customer experience and meet changing customer needs. Information on FinTech is somewhat dispersed and obscure, which can make synthesizing the data challenging. It is therefore critical to filter the noise around FinTech and focus on the most relevant trends, technologies and start-ups. To help industry players navigate the glut of material, we based our findings on DeNovo insights and the views of survey participants, highlighting key trends that will enhance customer experience, self-directed services, sophisticated data analytics and cyber security. In response to this rapidly changing environment, incumbent financial institutions have approached FinTech in various ways, such as through joint partnerships or start-up programs. But whatever strategy an organization pursues, it cannot afford to ignore FinTech. The main impact of FinTech will be the surge of new FS business models, which will create challenges for both regulators and market players. FS firms should turn away from trying to control all parts of their value chain and customer experience through traditional business models and instead move toward the center of the FinTech ecosystem by leveraging their trusted relationships with customers and their extensive access to client data. For many traditional financial institutions, this approach will require a fundamental shift in identity and purpose. The new norm will involve turning away from a linear product-push approach to a customer-centric model in which FS providers are facilitators of a service that enables clients to acquire advice and interact with all relevant actors through multiple channels. By focusing on incorporating new technologies into their own architecture, traditional financial institutions can prepare themselves to play a central role in the new FS world in which they will operate at the center of customer activity and maintain strong positions, even as innovations alter the marketplace. FIs should make the most of their position of trust with customers, brand recognition, access to data and knowledge of the regulatory environment to compete. FS players might not recognize the financial industry of the future, but they will be in the center of it. This post was co-written by: John Shipman, Dean Nicolacakis, Manoj Kashyap and Steve Davies.

Haskell Garfinkel

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Haskell Garfinkel

Haskell Garfinkel is the co-leader of PwC's FinTech practice. He focuses on assisting the world's largest financial institutions consume technological innovation and advising global technology companies on building customer centric financial services solutions.


Jamie Yoder

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Jamie Yoder

Jamie Yoder is president and general manager, North America, for Sapiens.

Previously, he was president of Snapsheet, Before Snapsheet, he led the insurance advisory practice at PwC. 

The Myth of the Protection Gap

The protection gap doesn't exist. We're just kidding ourselves -- while condescending to our customers.

sixthings

A friend and colleague, Chunka Mui, once said, "Marketing is when a company lies to its customers. Market research is when a company lies to itself." In the insurance industry, talk of the protection gap manages to combine both problems: It's something of a lie to customers and is an even bigger lie to ourselves.

People routinely talk about the protection gap -- the difference between losses incurred and the amount that are covered by insurance -- as though the number shows how much more insurance people and organizations should be buying. We comfort ourselves with the size of that number, because we think it represents opportunity for us. We also, frankly, get a little condescending about the people and organizations that aren't bright enough to buy our product to cover their losses.

But if you look at it from the customer standpoint, there isn't a gap. We're just kidding ourselves.

To make the math simple, let's pick a country at random and make up some numbers out of whole cloth. Let's imagine we're Gabon, and we, as a nation, incur $1.5 billion of losses a year, while only $500 million is covered by insurance. We're told we have a protection gap of $1 billion. We should buy $1 billion of additional coverage. It'll only cost us $1.3 billion. That's because -- again, in very rough numbers -- the insurer has to tack on 20% on top of the losses to cover expenses and needs its 10% profit margin to keep shareholders happy. But why would Gabon decide to overpay by $300 million a year?

The insurer's employees and shareholders are surely nice people who could use the money, but shouldn't Gabon take care of its citizens? I understand about peace of mind and surely believe that insurance plays a crucial role in the world economy, but, from a certain perspective (one that many customers take), I'd be better off going to a casino and playing the slot machines rather than buy insurance. The casino might even throw in free drinks and a show.

Insurance needs some new math to replace the protection gap, and we need to stop acting as though it's a real thing that a customer might care about. The first step is to cut expenses radically -- perhaps 50%. I use that number because a famous consultant/author with whom I have worked is going to argue in a book soon that every business needs to cut operating expenses by 50% within five years. I also see enough innovation happening around the edges in insurance that I think radical cost cuts are possible.

For instance, at the Global Insurance Symposium in Des Moines last week, I met the founder of RiskGenius, whose artificial intelligence could automate the work of whole swaths of people at brokerages who review the constant stream of changes in policies. But even that new math only shrinks the problem. Add half the previous expenses onto that $1 billion of insurance for Gabon, stir in the required profit, and you're still asking the country to pay $1.2 billion to cover $1 billion of losses.

The real change can only happen when insurance gets out of its product mindset and shifts to a service mentality. Then someone could go to Gabon and say, "Our insurance company knows an awful lot about how losses occur. How about if we advise your government, your companies and your citizens and help you prevent as many as we can?"

Then, perhaps, you shrink those losses by a third -- and keep some of that difference as profit. If you still take that whack at expenses, you could tell Gabon: "We'll take responsibility for your $1.5 billion of losses (both the insured and the uninsured), and it'll only cost you $1.25 billion. You'll come out $250 million ahead, while we cover all our expenses and earn $100 million profit." That $250 million gain is the kind of gap a customer will believe in.


Paul Carroll

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Paul Carroll

Paul Carroll is the editor-in-chief of Insurance Thought Leadership.

He is also co-author of A Brief History of a Perfect Future: Inventing the Future We Can Proudly Leave Our Kids by 2050 and Billion Dollar Lessons: What You Can Learn From the Most Inexcusable Business Failures of the Last 25 Years and the author of a best-seller on IBM, published in 1993.

Carroll spent 17 years at the Wall Street Journal as an editor and reporter; he was nominated twice for the Pulitzer Prize. He later was a finalist for a National Magazine Award.

Transparent Reinsurance for Health

Transparent reinsurance programs to address health insurance could emerge as significant opportunities.
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Transparent reinsurance programs could emerge as significant opportunities for healthcare providers, issuers, reinsurers, technology innovators and regulators to address health insurance. 

The message is clear. Having to factor in higher costs associated with new entrants to the healthcare system gives insurance firms license to charge higher rates. If these new people were put into a reinsurance pot for three to five years with costs spread over all insurers, no one insurer would be unnecessarily burdened. After this period, costs for these entrants could be reexamined and a decision could be made on how to proceed with them, depending upon the deviation from the remaining population. 

Several factors are coming into play.  United Health Group indicates it will be leaving all but a few of the 34 states where it is offering health insurance under Obamacare. A fresh Blue Cross Blue Shield study finds recent Obamacare entrants have higher rates of specific illnesses and used more medical services than early entrants. 

“Medical costs of care for the new individual market members were, on average, 19% higher than employer-based group members in 2014 and 22% higher in 2015. For example, the average monthly medical spending per member was $559 for individual enrollees versus $457 for group members in 2015,” the study found. 

What emerges in conversations with economists, regulators and healthcare actuaries is a sense that properly designed, fair and transparent reinsurance could—and would—advance industry and public policy goals to continue insurance for all at affordable prices. 

This approach would represent tangible improvements over inefficient, incumbent systems. Information would be used by insurers and reinsurers, providers and regulators and, crucially, insureds to establish best performances for healthcare outcomes and expenses. Virtually everyone knows that state or regional reinsurance would have to be mandated, as voluntary systems could be gamed. 

“The implementation of new policies, the availability of research funding, payment reform and consumer- and patient-led efforts to improve healthcare together have created an environment suitable for the successful implementation of patient-reported outcome measures in clinical practice,” fresh research in Health Affairs also indicates. Risk analysis technologies could help issuers, reinsurers, healthcare institutions and citizens rein in the healthcare system's enormous costs. 

Earlier this year, the Congressional Budget Office and Joint Committee on Taxation projected that, "in 2016, the federal subsidies, taxes and penalties associated with health insurance coverage will result in a net subsidy from the federal government of $660 billion, or 3.6% of gross domestic product (GDP). That amount is projected to rise at an average annual rate of 5.4%, reaching $1.1 trillion (or 4.1% of GDP) in 2026. For the entire 2017–2026 period, the projected net subsidy is $8.9 trillion.” 

CBO/JCT published this stunning projection amid consensus that $750 billion to $1 trillion of wasted spending occurs in healthcare in the U.S. “Approximately one in three health care dollars is waste,” Consumer Reports says. 

Key metrics should focus on estimates of risk using demographics and diagnoses; risk model descriptions; calculation of plan average actuarial risk; user-specified risk revealing and detailing information; drill-down capabilities clarifying research; monitoring and control; and calculation and comparison measures to address reinsurance validation. Several major refinements yielding and relying upon granular, risk-revealing data and metrics would support more efficient reinsurance. All would, and could, update reinsurance information and address customer experience, trust and privacy concerns. 

As the industry has noted, ledger technologies could play fundamental roles as blockchains. Indeed, blockchain technologies are just now being introduced in the U.K. to confirm counter party obligations for homeowners' insurance. 

“Advanced analytics are the key,” remarked John Wisniewski, associate vice president of actuary services at UPMC Health Plan. “Predictive capability that looks at the likelihood a patient admission may be coming is the information that we can give to doctors to deal with the matter. … Whoever develops algorithms for people who will be at risk—so providers can develop plans to mitigate risk—will create value for issuers, providers and members alike.” 

Available technologies support the connecting of risk assessments with incentives for risk information. Michael Erlanger, the founder and managing principal of Marketcore, said, “We cannot know what we cannot see. We cannot see what we cannot measure. These available technologies provide clarity for more efficient health insurance and reinsurance." 

Context: Three Rs: Reinsurance, Risk Corridors and Risk Adjustment 

When Congress enacted the ACA, the legislation created reinsurance and risk corridors through 2016 and established risk adjustment transfer as a permanent element of health insurance. These three Rs—reinsurance, risk corridors and risk adjustment—were designed to moderate insurance industry risks, making the transition to ACA coverage and responsibilities. 

The Centers for Medicare and Medicaid Services (CMS) within the Department of Health and Human Services (HHS) administers the programs. All address adverse selection—that is, instances when insurers experience higher probabilities of losses due to risks not factored in at the times policies are issued. All also address risk selection, or industry preferences to insure healthier individuals and to avoid less healthy ones. 

With the expiration of ACA reinsurance and risk corridors, along with mandatory reporting requirements this December, healthcare providers, issuers, reinsurers, technology innovators and regulators can now evaluate their futures, separate from CMS reporting. Virtually all sources commend reinsurance and risk adjustment transfer as consistently as they deride risk corridors. Reinsurance has paid out well, while risk corridors have not. Risk adjustment transfer remains squarely with CMS.  

ACA numbers 

While House Republican initiatives try and fail to repeal the ACA, and some news programs and pundits say it is unsustainable, approximately 20 million subscribers are enrolled in Obamacare: with 12.7 million as marketplace insureds, with others through Medicaid and as young adults on parent plans. 

President Obama, in March, remarked: “Last summer we learned that, for the first time ever, America’s uninsured rate has fallen below 10%. This is the lowest rate of uninsured that we've seen since we started keeping these records." 

Subscription ratios are off the charts. Premium increases have been modest, approximately 6% for 2016, experts find. “I see no risk to the fundamental stability of the exchanges,” MIT economist Jonathan Gruber observed, noting “a big enough market for many insurers to remain in the fold.” 

Transitional Reinsurance 2014-16: Vehicle for Innovation  

One of the great benefits of the ACA is eliminating pre-existing conditions and premium or coverage variables based on individual underwriting across the board. Citizens are no longer excluded from receiving adequate healthcare, whether directly or indirectly through high premiums. Prices for various plan designs go up as coverage benefits increase and as co-pays and deductibles decrease, but the relative prices of the various plans are calculated to be actuarially equivalent. 

To help issuers make the transition from an era when they prided themselves on reducing or eliminating less healthy lives from the insureds they covered, to an era where all insureds are offered similar ratings, the ACA introduced reinsurance and risk corridors to cover the first three years (2014 through 2016), in addition to risk adjustment transfer, which will remain in force. 

The concept is relatively simple: Require all issuers to charge a flat per-dollar, per-month, per-"qualified" insured and create a pot of money with these "reinsurance premiums" that reimburses issuers for excess claims on unhealthy lives. Issuers would be reimbursed based on established terms outlined in the ACA. Reinsurance reimburses issuers for individual claims in excess of the attachment point, up to a limit where existing reinsurance coverage would kick in. Individuals involved with these large claims may or may not be identified in advance as high-risk. The reimbursed claim may be an acute (non-chronic) condition or an accident. The individual may otherwise be low-risk. 

The important aspect is that all health insurance issuers and self-insured plans contribute. By spreading the cost over a large number of individuals, the cost per individual of this reinsurance program is small to negligible. Non-grandfathered individual market plans are eligible for payments. A state can operate a reinsurance program, or CMS does on its behalf through this year. As a backstop, the federal government put some money in the pot through 2016—just in case the pot proved inadequate to provide full reimbursement to the issuers. 

In a worst-case scenario, the sum of the reinsurance premiums and the federal contribution could still be inadequate, in which case the coinsurance refund rate would be set at less than 100%. As it turned out, 2014 reinsurance premiums proved to be more than adequate, so the refund rate was 100%, and the excess funds in the pot after reimbursement were set aside and added to the pot for 2015, just in case that proves inadequate.

CMS transferred approximately $7.9 billion among 437 issuers—or 100% of filed claims for 2014, as claims were lower than expected— and it has yet to release 2015 payments. The results for 2015 are coming this summer. From the outset, states could, and would, elect to continue reinsurance, the CMS contemplated. In 2012, the CMS indicated that “states are not prohibited from continuing a reinsurance program but may not use reinsurance contribution funds collected under the reinsurance program in calendar years 2014 through 2016 to fund the program in years after 2018." 

Subsequent clarification in 2013 did not disturb state discretion. Current regulation specifies that “a state must ensure that the applicable reinsurance entity completes all reinsurance-related activities for benefit years 2014 through 2016 and any activities required to be undertaken in subsequent periods.” One course of action going forward from 2017 and varying from state-to-state could be mandatory reinsurance enacted through state laws. Healthcare providers, issuers, reinsurers, regulators and legislators could define the health reinsurance best suited to each state’s citizens. 

Reinsurers could design and manage administration of these programs possibly at a percentage of premium cost that is less than what is charged by the federal government today. While these reinsurance programs would be mandated, they could include a component of private reinsurance. For example, reinsurers could guarantee the adequacy of per-month reinsurance premiums with provisos that if these actuarially calculated rates turned out to be inadequate in any given year or month, there will be an adjustment to account for the loss in the following year. Conversely, if those rates turn out to be too high, 90% or more is set aside in an account for use in the following year. This way, reinsurers could participate by providing a private sourced solution to adverse claims. 

Risk Corridors 

Risk corridors apply to issuers with Qualified Health Plans (exchange certified plans) and facilitate transfer payments. The CMS noted: “Issuers whose premiums exceed claims and other costs by more than a certain amount pay into the program, and insurers whose claims exceed premiums by a certain amount receive payments for their shortfall.” Technically, “risk corridors mean any payment adjustment system based on the ratio of allowable costs of a plan to the plan’s target amount,” as the CMS designated. Issuer claims of $2.87 billion exceeded contributions, so the CMS transferred $362 million among issuers; that is, a 12.6% proration or a $2.5 billion shortfall in 2014. Risk corridors are politically contentious. Sen. Marco Rubio (R-Florida) likened risk corridors to bailouts. The HHS acknowledged it will “explore other sources of funding for risk corridors payments, subject to the availability of appropriations… includ[ing] working with Congress on the necessary funding for outstanding risk corridors payments.” And, a knowledgeable analyst, Dr. David Blumenthal, noted that risk corridors are not bailouts. Going forward, evaluations of risk corridors will demand due diligence. Several health exchanges failed from any number of factors—from too little capital for growth experienced, inadequate pricing, mismanagement or risk corridor payments. Whether innovation can yield effective risk corridors or whether risk corridors will simply fade out as transitional 2014-2016 regulation will depend on institutional and industry participants. Risk corridors did not score unalloyed approbation among sources. 

Risk Adjustment: Permanent Element of ACA 

Risk adjustment remains in force and impels issuers with healthier enrollees to offset some costs of issuers with sicker ones in specific states and markets and of markets as a means toward promoting affordable health care choices by discouraging cherry picking healthier enrollees. The HHS transferred approximately $4.6 billion for risk adjustment among issuers for 2014. At first blush, one might postulate that risk adjustment does the job and that reinsurance and risk corridors could just as reasonably fade out. There is some logic to that argument. On the other hand, state or regional level reinsurance could make up for risk adjustment shortfalls. In some instances, risk adjustment seems to be less friendly to issuers that take on higher-risk individuals, rather than rewarding high tech issuers and providers with back office capabilities coding claims in such a way as to tactically game risk adjustment. Evaluating and cultivating these opportunities are timely amid the uncertainties of the presidential and congressional elections that may yield executive and legislative lawmakers intent on undoing ACA provisions, starting with risk corridors. Such legislation could produce losses for issuers and reinsurers. 

Nelson A. Rockefeller Precedent 

In 1954, then-Undersecretary of Health Education and Welfare Nelson A. Rockefeller proposed reinsurance as an incentive for insurers to offer more health insurance. S 3114, A Bill to Improve the Public Health by Encouraging More Extensive Use of the Voluntary Prepayment Method in the Provision of Personal Health Services, emerged in the first Eisenhower administration to enact a federally funded health reinsurance pool. Rockefeller intended the reinsurance as a means toward an end, what would eventually be dubbed a "third way" among proponents of national health insurance. President Truman and organized labor championed the approach into the mid-'50s. So did the Chamber of Commerce and congressional Republican adversaries of the New Deal and Fair Deal, who were chaffing to undo Social Security as quickly as they could. The American Medical Association also supported this third way because it opposed federal healthcare reinsurance as an opening wedge for socialized medicine. Despite limiting risk and offering new products, insurers demurred because of comfort zones with state regulators and trepidation about a federal role.  

Nelson Rockefeller’s health reinsurance plan would “achieve a better understanding of the nation’s medical care problem, of the techniques for meeting it through voluntary means, and of the actuarial risks involved,” HEW Secretary Oveta Culp Hobby testified to a Senate subcommittee in 1954. Rockefeller’s health reinsurance plan did not make it through the House. Organized labor decried it as too little, the AMA said it was too intrusive. Upon hearing news of the House vote, a frustrated Dwight Eisenhower blistered to reporters, “The people that voted against this bill just don’t understand what are the facts of American life,” according to Cary Reich in The Life of Nelson A. Rockefeller 1908-1958. “Ingenuity was no match for inertia,” Rockefeller biographer Richard Norton Smith remarked of industry and labor interests in those hard-wired, central-switched, mainframe times.  

The idea of national health insurance went nowhere despite initiatives by Sen. Edward M. Kennedy (D-Massachusetts) in the late '70s and President Bill and First Lady Hillary Clinton roughly 20 years ago, until Congress legislated Obamacare. 

Innovative, Transparent Technologies Can Deliver Results 

Nowadays, more than 60 years after Rockefeller's attempt, innovative information technologies can get beyond these legislative and regulatory hurdles. Much of the data and networking is at hand. Enrollee actuarial risks, coverage actuarial values, utilization, local area costs of business and cost-sharing impacts on utilization are knowable in current systems. Broadband deployment and information technology innovations drive customer acquisition and information management costs ever lower each succeeding day. Long-term efficiencies for reinsurers, insurers, carriers, regulators, technology innovators and state regulators await evaluation and development. 

Reinsurance Going Forward From 2017 

So, if state reinsurance programs can provide benefits, what should they look like, and how should they be delivered? For technology innovators—such as GoogleMicrosoftOverstockZebra or CoverHound—these opportunities with reinsurance would apply their expertise in search, processing and matching technologies to crucial billion-dollar markets and functions. The innovators hope to achieve successes more readily than has occurred through retail beachheads in motor vehicle and travel insurance and credit cards and mortgages. One observer noted that some of those retail initiatives faltered due to customer experience shortfalls and trust and privacy concerns. Another points out that insurers view Amazon, Apple and Netflix as setting new standards for customer experiences and expectations that insurers will increasingly have to match or supersede. A news report indicated that Nationwide already pairs customer management data with predictive analytics to enhance retention. 

Reinsurers including Berkshire Hathaway, Munich Reinsurance Company, Swiss Reinsurance Company Limited and Maiden Holdings could rationalize risks and boost earnings while providing a wealth of risk management information, perhaps on a proprietary basis. For issuers, state-of-the-art transparent solutions improve the current system by enabling issuers to offer more products and services and becalm more ferocious industry adversaries while lowering risks and extending markets. Smaller, nimbler issuers may provide more innovative solutions and gain market share by providing the dual objectives of better health outcomes with lower costs. For regulators, innovative, timely information sustains the indispensability of state regulators ensuring financial soundness and legal compliance—while allowing innovators to upgrade marketplace and regulatory systems, key regulatory goals that Iowa's insurance commissioner, Nick Gerhart, pointed out recently. 

Commissioner Gerhart envisions regulators as orchestra conductors, acknowledging that most insurance regulatory entities are woefully understaffed to design or operate such reinsurance programs themselves, but they will, and they can lead if the participants can provide turnkey capabilities. Think of health insurance and reinsurance as generational opportunities for significant innovation rather like the Internet and email. When the Department of Defense permitted the Internet and email to evolve to civilian markets from military capabilities in the 1980s, the DOD initially approached the U.S. Postal Service. Senior Post Office management said it welcomed the opportunity to support email: All users need do is email correspondence to recipients’ local post offices by nine p.m. for printing, enveloping, sorting and letter-carrier delivery the following day. Similarly, considerable opportunities chart innovative pathways for state and regional health reinsurance for 2017 and beyond. 

One path, emulating the post office in the '80s, keeps on coding and bemoans a zero sum; it would allow the existing programs to fade away and will respond to whatever the president and Congress might do. Another path lumps issuer health reinsurance as an incumbent reinsurer service without addressing the sustainability of state health exchanges or, indeed, any private health insurers in the absences of risk spreading with readily available information technologies. The approach suggested here—mandated state health reinsurance—innovates to build sustainable futures. Enabling technologies empower all stakeholders to advance private and public interests through industry solutions advancing affordable healthcare.


Hugh Carter Donahue

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Hugh Carter Donahue

Hugh Carter Donahue is expert in market administration, communications and energy applications and policies, editorial advocacy and public policy and opinion. Donahue consults with regional, national and international firms.

How to Use Risk Maturity Models

Here is a simple yet comprehensive view of the seven most important factors for managing any risk within your purview.

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Over the last 10 years of the “risk leader” portion of my career, as the head of enterprise risk management at USAA (2001-10), as well as during my subsequent work as an ERM consultant, I was challenged by several questions that affect risk management results and, by extension, ultimate success. All fell under the header of “risk management maturity,” and focusing on it can provide huge benefits to you and to your organization. To start, we need to get two things straight. First, how are you defining “risk,” and have you driven a consensus among key stakeholders about that definition? Second, which risks are you going to manage, and where on the loss curve do they fall? These questions may sound simple, but the reality is that many risk leaders have responsibilities for only a portion of the risks that organizations face -- often, only the insurable risks. If that’s the case, you have your answer to both questions nailed. See Also: How to Develop Risk Maturity If, on the other hand, you are a risk leader with broader accountability for more or all risks (via enterprise risk management, or ERM) that could affect an organization (both negatively and positively), then the first question -- "how does your firm define risk?” -- requires clear definition. The most commonly accepted definition of risk is “uncertainty.” I like this simple definition, and it captures the most central element of concern. However, the real challenge remains the question about the level of uncertainty (aka frequency/likelihood). To many, even more important is the level of impact or severity. My favorite chart to help illustrate this concept is one where the “tail” of the loss distribution represents where the proverbial “black swans” live. A typical loss curve has as its peak the expected level of loss, and the black swan sits out on the tail of this curve, where the x-axis is impact of severity of loss and the y-axis is the frequency or likelihood of loss. While many hazard-focused leaders put their attention on risks at expected level or to the left along the x-axis where certainty of loss rises, the challenge is where in this region of the curve to the right should one be managing? While the possibility of loss becomes increasingly remote as you move out toward the tail of the curve, the impact of events become more destructive. Key questions that must be answered include:
  • Do we care more about likelihood or impact, or are they equal?
  • What level of investigation do we apply to risks that are remotely likely?
  • How do we apply limited resources to risks that are remotely likely?
  • Do we have a consensus among key stakeholders as to what risks we should focus on and how?
  • Do have or need a process to manage emerging risks?
  • Do we have a consensus on and clear understanding of how we define risk in our organization?
These issues are the starting point to the risk management maturity question, which, if handled well, facilitates organizational success. From these answers, you can chart your course for your firm. The answers will define the process elements of maturity. But we need to define what risk maturity is to track progress toward it and to ensure that stakeholders are aligned around the chosen components. The various components among the numerous risk maturity models tend to overlap considerably. Here’s one generic set of attributes of maturity:
  • Risk is managed to specifically defined appetite and tolerances
  • There is management support for the defined risk culture and direct ties to the corporate culture
  • A disciplined risk process is aligned with other functional areas
  • There is a process for uncovering the unknown or poorly understood risks
  • Risk is effectively analyzed and measured both quantitatively and qualitatively
  • There is collaboration on a resilient and sustainable enterprise
The first, and I think most thoroughly developed, model comes from the Risk and Insurance Management Society (RIMS). It was developed some 10 years ago or so but remains in my opinion a simple yet comprehensive view of the seven most important factors that inform risk maturity and that, when well implemented, should drive an effective approach to managing any risk within your purview. The components of the RIMS model include a focus on:
  • The degree to which an enterprise-wide approach is supported by executive management and is aligned with other relevant functions
  • The degree to which repeatable and scalable process is integrated in the business and culture
  • The degree of accountability for managing risk to a detailed appetite and tolerance strategy
  • The degree of discipline applied to using the elements of good root-cause analysis
  • The degree to which a robust emerging risk process is used to uncover uncertainties to achieving goals
  • The degree to which the vision and strategy are executed considering risk and risk management
  • The degree to which resiliency and sustainability are integrated between operational planning and risk process
As with all risk management strategies (no two of which that I’ve seen are exactly the same), there is no one way to accomplish maturity. Every risk leader needs to do for her organization what the organization needs and will support. Another maturity model that is worthy of note is the Aon model. Like RIMS’ model, it enables multiple levels of maturity and methodology for charting progress toward an ideal state. Characteristics of the Aon model include:
  • Ensuring the board understands and is committed to the risk strategy
  • Establishing effective risk communications
  • Emphasizing the ties among culture, engagement and accountability
  • Having stakeholder participation in risk management activities
  • Using risk information for decision making
  • Demonstrating value
This is not to say that the RIMS model ignores these issues. There is simply a different emphasis. Also noteworthy is Protiviti’s perspective on the board of directors' accountability for risk oversight. A few highlights include:
  • An emphasis on the risks that matter most
  • Alignment between policies and processes
  • Effective education and use of people and their place in the organization
  • Assumptions that are supportable and understood
  • The board’s knowledge of the right questions to ask
  • Focus on understanding the relationship to capability maturity frameworks
Certainly, the good governance of organizations is critical, and the board’s role is paramount. If the board is engaged and accountable for ensuring that its risk oversight is effective, the strategy is likely to be executed successfully and, by inference, risk will have been effectively managed, as well. See Also: How to Link Risk and Strategy To complete the foundation for the business case for using a risk maturity model to track progress, consider these key points:
  • There is no one right approach; each organization must chart its own course aligned with its culture and priorities
  • Risk must be treated as an integral aspect of strategy
  • There must be a focus on additive value, as with all corporate processes
  • Risk maturity has produced documented valuation premium for studied users
With the effective use of risk maturity models, you should be able to better chart your risk evolution journey, and how a good maturity strategy related to corporate strategy and priorities is the ultimate nexus for success. Risk and risk management should drive performance results and what remains to be done to achieve longer-term aspirations. This approach to managing your risk strategy should allow you to:
  • Translate the component of risk maturity into a successful ERM journey
  • Refer to ERM results and impacts achieved by others to buttress your efforts
  • Understand key tactics to exploit and pitfalls to avoid as you perfect your risk management strategy.
Using a risk maturity model will, if nothing else, provide the guard-rails and discipline that may otherwise be missing from your current attempts to make a difference in the success of your enterprise.

Christopher Mandel

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Christopher Mandel

Christopher E. Mandel is senior vice president of strategic solutions for Sedgwick and director of the Sedgwick Institute. He pioneered the development of integrated risk management at USAA.

An Eruption in Disruptive InsurTech?

Not so much: "Nothing I saw in these presentations made me believe this group of companies would be genuinely disruptive."

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I attended an InsurTech “boot camp” at the magnificent Christ Church, Spitalfields, U.K., my first such event, and I was intrigued to see what would be presented and how the audience would react. The organizers billed the day’s theme as “Experience the Eruption.” Their website stated the aim was to “recognize the fast-paced appearance of insurance start-ups, which are creating seismic shifts behind the scenes that will lead to the emergence of a new identity within the insurance sector as we know it today. An 'eruption,' which will allow new disruptive entrants to break out into the mainstream and support an industry that needs to engage differently in a highly customer-centric and digital-friendly world.” Was that lofty ambition that labors excessively on hyperbole, or did the afternoon live up to the hype? The format of the afternoon was a series of Dragons' Den (a U.K. TV show) style pitches (without the interrogation) for investment or partnerships from the incubated firms selected for Startupbootcamp’s program (which includes investment from them, meaning there is an element of self-interest that firms do well). The pitches were preceded by a fireside chat from the chief strategy officer of Knip, a Swiss-based app that acts as a portal and broker for insurance policies. See Also: InsurTech Forces Industry to Rethink Were any truly disruptive? My view is that they all fell into one of three broad camps of focus: Distribution and Sales I’d put four firms in this bracket: MassUp, Spixii, Buzzmove and MyFutureNow — but all had a different focus with different levels of potential disruption. MassUp was all about making buying insurance for "stuff' easier by making it an add-on for any purchase. The company had a good story and was slick, but it didn’t feel truly disruptive. Credit card companies have been offering similar protection for years, and MassUp will do well to distinguish itself from extended warranty products that savvier consumers tend to decline. That, perhaps, is the problem with the business model for me — while tech may make it easy for the consumer to purchase the insurance (and for sales companies to add it as an option), it doesn’t obviously increase the value for the customer. BuzzMove is a successful online removals broker, a portal to help customers find a removal firm when they move houses. The company has added to its capability by recognizing that a key element of quoting for removals is an inventory of the things that need to be moved. Typically, individuals don’t do this when they take out contents insurance (or, indeed, don’t update it when they buy new things), so they run the risk of being under-insured. Linking the life event with an inventory that can be used to underpin an insurance quote is a smart way to add value to the customer — without additional effort. As such, it is effectively looking to take over the customer by owning the life event in the same way banks have looked to do — e.g. take out a mortgage, and they will try to convince you to re-visit your life insurance levels. As such, the concept is not disruptive, but the concept of the home inventory and the tech underlying how this is put together is something insurers (and others) will undoubtedly embrace, so it is therefore significant. I’ll return to this later, as the ownership of this data becomes key. MyFutureNow has a reasonably simple proposition; it is an online portal for customers to manage disparate pension plans by consolidating them into a single plan that is offered through the site. On the surface, its proposition is attractive and is reinforced by a slick implementation of the website and the app — the economics are being driven by a percentage fee on the value of the pension fund when transferred in. The key to success will be to differentiate the consumer experience. However, as regulated financial advisers will tell you, this is a complex area, and the consolidation of old plans is not necessarily the appropriate outcome for all consumers. It is unclear to me the extent to which MyFutureNow has have thought through the compliance and advice issues. Again, the focus is to try and take over ownership of a particular part of a customer's portfolio (in this case, pensions). Spixii’s proposition was timely, what with Facebook’s recent announcement of the addition of "bots" to its Messenger app. Essentially, Spixii offers a message bot that sells insurance (currently just travel insurance, but the concept could obviously be extended quite easily.) Inevitably, all financial service providers will add bots as way of communicating and selling, as will the price comparison websites, so this is definitely an "on-trend" area to watch. Customer Experience Three firms fall into this category: RightIndem, Domotz and Quantifyle. RightIndem looks to enhance claims management by allowing insurers to offer a self-service claims platform and by increasing the transparency of the claims process. Claims is an area consumers point to as frustrating, so any steps to enhance the offering will be hugely positive; it is an area we will see all insurers developing in the coming years. Domotz is a little more difficult to classify as it is not strictly an insurance proposition. The company plays in the space of the Internet of Things and the smart home. The insurance angle is providing information to the customer that will help reduce claims through smart home management (e.g. the customer gets an alert if running water is detected and nobody is home). Insurers might therefore offer discounts to those who install such systems. As such, it is perhaps similar to the wave some years ago when insurers encouraged drivers to fit alarms and immobilizers in their cars before they were standard issue. Quantifyle’s proposition is based on driving good customer behavior for wellness by motivating people to achieve fitness goals. Insurers have already played in this area — most noticeably Vitality, whose entire proposition is built around rewarding customers for their lifestyle. Big Data The last firm presenting is alone in this category, although others touched upon it. Fitsense­ demonstrated how it can harness the data collected from wearable tech (such as fitness trackers and smartphones) and overlay that with environmental information to provide the insurer insight into a customer's lifestyle and behavior. Undoubtedly, there is great insight to be had, but the key element here will be the willingness of consumers to adopt and provide that information to insurers. (Location-aware information was also touched on by Spixii, which speculated that its app could provide, for example, travel insurance options that depend on the travel profile of the individual.) This leads us into the important area of privacy and ownership of that information, with consumers rightly being concerned about the erosion of their privacy. While the youngest generation of consumers are likely to be increasingly less concerned, the adoption will need to happen slowly to bring customers along. There is also the risk of consumer self-selection (similar to the current adoption of "driving standards" apps by motor insurers), and it raises the moral question of whether increasingly individualized risk pricing is at odds with the original insurance principle of pooling of risks. So, What Was Missing? Invariably, InsurTech "innovation" majors on the three areas highlighted above — they are usually the easiest to move elements of the insurance process forward into the digital world but, therefore, are not necessarily disruptive, instead shifting the margin of current offerings. Two areas of development were conspicuous by their absence: Peer-to-Peer insurance This is an area where there are a few start-ups dabbling, but they haven't yet reached any critical mass. Key inhibitors are traditional barriers to entry to the world of insurance, namely regulation and, in particular, capital requirements. It is a fast-moving area and one where, potentially, blockchain technology will grow out of its hype to provide a compelling proposition that satisfies regulators. In particular, recent work suggests that using the Lloyd's of London model as template and porting to a blockchain model could provide the tipping point. Consumer-Owned Risk Assessment While big data has been touted as a way for insurers to get rich, detail on their customers and individualized risk assessment (which, in and of itself is simply a further iteration of the traditional model with more data) leads to issues of privacy and the moral question of individual versus pooling of risk. There is a paradigm shift in the interaction of consumers with institutions in the digital age that isn’t reflected here — that in which the consumer has more power and takes ownership of his or her own data. As such, this could break the mold of the traditional insurance product silos and be truly disruptive. In the new age, the dynamic is reversed, and the richness of data and the assessment of risks an individual faces do not belong to the institution — instead, control is with the individual, who, in turn, get the insight that allows them the power to manage a risk profile. See Also: A Mental Framework for InsurTech This shift has started in wealth management, and it seems natural that insurance will follow. New players in this sector will not be the traditional insurer, as the focus will need to be on providing the value to the consumer with the ownership of the data and allowing the consumer to manage it. This sits more easily with the business model of companies such as Google or Facebook than with the incumbents in the insurance market. Conclusion?  Nothing I saw in these presentations made me believe this group of companies would be genuinely disruptive (or, indeed made me reach for the checkbook to invest). When compared with the broader FinTech spectrum or tech-centric events, the afternoon felt less slick and less innovative. InsurTech is still young, so there is still a lot of maturing to do, but there were one or two hints from these companies that may stimulate discussion, which, in turn, might lead to genuine innovation.

Adam Tyrer

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Adam Tyrer

Adam Tyrer has 25 years of experience advising insurers around the globe in implementing change, defining strategy and providing risk and actuarial modeling capabilities. He founded Quintant Partners in 2011 as a boutique consulting firm to work with insurance clients on the use and strategy of modeling tools and technology.

What Comes After Big Data?

Predictive modeling is but an early step; we must see beyond the fleeting ability to increase underwriting profit or fast-track a claim process.

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The force of transformation in our technological age is undeniable, unpredictable, rapid and without controls to slow or stop. No industry can freeze a convenient moment in time when its commodity has high value that is safe from competitive disruption and in perfect alignment with technology. Any and every business can be blindsided by a competitor’s next-generation upgrade of IT, or an upstart’s reinvented consumer acquisition and interaction experiences. What is new today becomes old in a flash. In the risk and insurance industry, investment is booming in predictive analytics and big data. Many proponents envision the death rattle of stodgy experience mod rating, which would give way to “Moneyball” fantasies flush with evergreen underwriting profits. While Moneyball fantasies may pan out for now, our industry cannot control the genie emerging from this bottle. I suggest we consider when and how big data might mature as a cheap ubiquitous commodity and how to hone the next logical step that capitalizes on its inevitable demise. First, we must accept that the devaluation of predictive analytics is imminent, whenever that comes. Consider these questions: --Will analytics still create any underwriting advantage when all companies are applying similar models? --How will the “smart money” know when to stop huge investments in model-building? When 900 data points show no more appreciable value than 400? When the burdensome collection of data at the adjuster’s interface limits, dumbs down, dehumanizes and fast-tracks the front-line adjusting operation so as to, ironically, become a detriment to claim outcomes in and of itself? See Also: Competing in an Age of Data Symmetry --What happens when the first major broker or marketing interest cracks the dam and applies analytics as a loss-leader to fish for clients or tangentially grow a related market share? For example, offering to analyze a prospect’s work comp for free as part of winning a lucrative global property program. Can you beat the rush as more consumers expect predictive analysis “freebies” as part of the entry expense for winning customer contracts? --How soon will some website’s appetite for “click-bait” mean that it offers free, robust, on-line predictive analytic calculators simply to build email lists of potential WC customers? --What if government interests unleash the ability to apply top-notch WC analytics on an open-source employer platform for the good of the state? Can self-use, cost-saving analytics become a public “right” and not a paid-for “privilege”? Today’s reality is simple: Information is vast, easily accessible and free. This fact not only foretells the demise of the value of big data in our industry, but it also instigates the next step in creating opportunity. This next step will arise from the changing nature of higher education and future job seekers. I was recently privileged to hear a talk by the headmaster of an esteemed college preparatory school, who espoused a necessary wholesale change in education. His premise: There is no longer any value in teaching students facts and information because all of it is available and accessible for free. He considers it educational malpractice to make students learn facts. He has shifted a good part of his school curriculum to project-based learning. Student teams are presented with issues or situations and create solutions or new perspectives that open higher possibilities. One of the project teams tackled the challenge of cross-teaching Mandarin and English languages. Their research discovered that the Chinese have a passion for U.S. basketball. The team produced a video of instructional interactive basketball drills that taught language during the real-time experience of following drill instructions. Their first module is now actually being used in China to support prospective students interested in American schools. The headmaster jokingly said his school may have to forego non-profit status to look for investor money and make the concept a complete language package. Mind you, these creators are teenagers with no real budget who were able to use the Internet and common technology to research, design and produce this valuable product and change notions of language-learning. The bottom line is that future employee talent will not care to know facts but will find its highest value in being able to ignore the conventional, ask the right questions and conceive whole new visions from abundant data and information. This is where our industry must pick up a focus as big data’s intrinsic value declines. Specifically: We need to cultivate real seat-of-the-pants critical thinking around micro-employer data and macro-industry data. We need thinkers who will ask incendiary, never-before-imagined questions and propose changes and interventions that will reinvent how any employer’s WC program might be constructed and operated and how vendors will provide action and service. While vast, yet soon-to-be-cheap, data points will still garner some valid predictions, monetizing the employer’s change proposition and perhaps having a stake in the outcome will be where the future profit lies. Not just any claims expert can provide value at this needed level, as most in today’s world only know templates and best-practice concepts. Very few have skill in ground-up, project-based problem solving. The next wave of industry smart money must seek out and hire a new army of solution-prone human capital. Our industry must admit that predictive modeling is but an early step toward other means of value beyond just the current fleeting ability to increase underwriting profit or fast-track a claim process. The ancient industry construct that silos underwriting, sales and claims needs a re-assessment of where priority human capital investment lies and of how cross-skills must work together. See Also: The Science (and Art) of Data, part 1 Perhaps current position value will flip-flop… the soon to be data-rich yet bulk-automated underwriting process might become an offshore, outsourced common function while the adjuster will emerge as a future kingpin in protecting profitability and holding the highest salaried function – abundant with talent and intuition while provided ample time to ask the right questions employer by employer and claim by claim. I welcome any entity that wants to explore and build the next value-wave on the downside of big data to please contact me.

Barry Thompson

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Barry Thompson

Barry Thompson is a 35-year-plus industry veteran. He founded Risk Acuity in 2002 as an independent consultancy focused on workers’ compensation. His expert perspective transcends status quo to build highly effective employer-centered programs.