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Risk Management

Risk Management by Design

Palo Alto-based The Risk Authority Stanford is incubating risk management solutions using design thinking; that means elevating end users into key roles in addressing health care risk exposures.
By: | January 9, 2017 • 7 min read

A health care risk management team based in Silicon Valley is using the latest technology to make patients, doctors and health care systems safer and more sustainable.

Using the concept of design thinking, veteran health care chief risk officer Jeff Driver and his team at The Risk Authority Stanford believe they can engage risk and mitigate it in a way that involves client participation and is client-specific.

Design thinking, briefly stated, involves enlisting the participation of end users to find and build the solution to a pain point.

Here’s Simon Mawer, The Risk Authority Stanford’s assistant vice president of risk management, on that topic in more detail.

“Design thinking is using the tools and mindsets of designers to address problems outside the traditional fields of design. It’s a process that elevates people—and more particularly, the end-users of a product, transaction, or system—as experts for understanding the frontline realities behind the hard data. Through a creative, collaborative and experimental process, design thinking helps us generate solutions that are effective, because they are uniquely shaped by and for the people and the context for which they are designed.”

Jeff Driver, CEO, The Risk Authority Stanford

In his decades-long experience as a health care risk manager, Driver, The Risk Authority Stanford’s CEO, said he repeatedly encountered situations where off-the-shelf risk analysis products with supposedly sterling resumes and recommendations failed.

“We know from 20 years or so of purchasing solutions that not all solutions really work,” Driver said.

“There are closets full of these solutions that have never taken off,” he said.

“Design thinking solutions are those solutions that emerge from the sharp end or where the problem originates,” he said.

“We use a team of risk managers and staff quality experts to look at the possibilities of designing a solution that is specific to that problem and that culture, rather than buying an off-the-shelf solution,” he said.

It’s on the beat of that word “culture” where a lot of health care risk managers will start nodding their heads.

All work cultures are complex. The degree to which interpersonal dynamics or workplace culture can affect performance in areas like operations and risk management cannot be underestimated.

One traditional communication snare in health care is between doctors and nurses. A veteran nurse might see a doctor making a mistake, but because of the hierarchies that can exist in a hospital, won’t say anything.

Overwork, staff on staff or patient on staff violence in workplace settings, or miscommunication due to simple language differences can all lead to disruption and distraction, with the end result that those the profession swears not to harm get harmed.

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Veronique Grenon, a vice president of analytics with The Risk Authority Stanford, talks about how analytics can drive understanding of cultures, to unearth the places where one member of a hospital team, or a patient, may have one view of a medical error or event, and another party may see things through an entirely different lens.

“I think analytics is like writing a story. But data reporting isn’t enough anymore. We are working on predictive and prescriptive analytics,” Grenon said.

“We need to know what to focus our risk management strategies on,” she said.

Let’s say a medical error occurs and is reported. Using analytics to understand who initiated a report in a given system can help a risk analyst’s valuable perspective on that report, compared to other reports produced about the same health system.

“Where did this initiate, did it initiate by a patient complaint? Or did it initiate from a nurse’s concern?”

And then analyzing the event based on who wrote the report.

“The new modeling techniques are there to help us with that. We use natural language processing, machine learning, sentiment analysis to uncover more of not just the hard facts but information about the patient and how they are feeling,” Grenon said.

Veronique Grenon, vice president of risk analytics, The Risk Authority Stanford

“We combine data sets, create common language, and analyze data from many sources,” she said.

Drawing on her background as an actuary, Grenon is using analytics to touch every piece of what The Risk Authority Stanford is doing, be it a new product for insurance underwriters who are trying to get a grasp of their health care clients risk exposures, or risk managers who are trying to get their hands on a tool that can help them understand, in a more intimate way, the risks within their own organizations.

“We are using risk analytics to understand where our hotspots are,” she said.

“Then we use design thinking, we want to uncover the true drivers of the issues we are seeing. And then we create solutions,” she said.

“Together they are very powerful and complement each other very well,” she said.

“I am really glad I am a part of this project,” she said. “I was skeptical at the start and now I love it.”

“The most exciting thing about the work that Vero(nique) and her colleagues are doing is that they are giving us an accurate, nuanced, and actionable running start into the most important issues driving liability risks,” said Mawer.

“We say the data provides a direction for investigation—and to really understand clinical risks you have to walk in the shoes of the people you are designing for: before you start going straight to solutions, you have to empathically understand the people and the systems in which they live and work, from their perspective,” Mawer added.

Innovence

Driver founded what was then known as Stanford Risk Consulting in 2009. By 2013, the group decided to shed its nonprofit status and enter the for-profit realm as The Risk Authority Stanford.

“Over time we accomplished that but we had this whole other side of our brain so we built this new product which we call ‘Innovence,’ said Driver. The name is a cross between “innovation” and “evidence”.

The software piece of the business is known as Innovence Pulse. One product, Innovence Pulse: Enterprise, is helping carriers look at the data from their insureds to understand what is driving losses at those insured entities.

A second software product, Innovence Pulse Risk Manager, was released this past fall. That product allows risk managers to essentially “shrink wrap” an analytics solution around their particular set of risks, allowing them to get their arms around disparate sets of data systems.

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The Risk Authority Stanford’s Grenon said that while some modules of Innovence Pulse are complete and some are still under construction, the team is, in a sense, always in process.

“We’re giving risk managers a tool to be proactive about what they are doing,” Grenon said.

“My personal objectives come into this as well,” she said.

“I don’t want to add a data entry burden to people. I want to be able to use what intelligence is available

History

Jeff Driver’s first job in health care risk management was at tiny Geauga Hospital in Chardon, in Ohio’s Amish country.

“Literally, the Amish would roll up in their buggies, take off their boots, leave them at the door and walk in with bags of cash,” Driver recalls.

From those humble beginnings at a 110-bed hospital in Ohio, Driver is using his Silicon Valley connections to shape the future of the health care risk management profession.

The Risk Authority, as it is known for short, not only consults in risk management for Stanford Health Care and Stanford Children’s Health, but works with health care clients and insurance carriers across the globe.

Due to confidentiality agreements, Driver can’t reveal the carriers or the hospitals that he is working with. Suffice to say that there are a number of them.

Driver’s career in health care began some years earlier than that risk management stint in Chardon, when he worked at the Cleveland Clinic as a respiratory therapist. Almost immediately, he was confronted with the issue of medical error.

It didn’t take long for him to decide that he wanted to study and help mitigate medical error(s) and their aftermath for a living.

“I was personally involved in medical errors,” Driver said. “I watched other people be involved in medical errors,” he said.

“It changed my vision of what I wanted to do. Rather than be a clinician I wanted to be a person that was involved in preventing those kinds of errors,” he said.

Following risk management positions at San Diego Children’s Hospital and at the Beth Israel Deaconess Medical Center in Boston, Driver took a position as the Chief Risk Officer at the Stanford University Medical Center in 2004.

The move to Stanford was fortuitous because it placed Driver in one of the leading medical facilities in the country. It also put him in Silicon Valley, in the company of hundreds of aspirational people who through a technology revolution, are reshaping commerce globally.

“Obviously we are heavily influenced by our geography,” said Driver.

“On the Stanford campus we are right in the middle of Silicon Valley,” he said.

“Hewlett Packard is right across from us. Google is right here. You mingle with these people and you can’t help but want to learn about what they are doing.”

Simon Mawer, assistant vice president of risk management, The Risk Authority Stanford

Like Driver, The Risk Authority’s Simon Mawer encountered the issue of medical error earlier in his career, became intrigued by its dynamics and was drawn to a career in health care risk management.

Mawer began his professional life as a litigator in Australia, working in the tort-liability field on cases involving personal injury, medical malpractice and aviation accidents, among other topics.

“Part of what I loved about that work was the sacred privilege of meeting people in their hour of greatest need, understanding their situation deeply, and advocating in close collaboration with them for the resolution they deserved,” Mawer said.

Mawer moved to California, and worked for a number of years in claims and litigation in-house for the Stanford University health system. That experience deepened his knowledge of the importance of empathy in understanding how patients view health care, and how wronged they can feel if they are injured as part of their medical treatment and their concerns not listened to.

“After spending hours and hours listening to the experiences of patients, nurses and physicians in the aftermath of medical errors and health care gone wrong, I developed a passion for getting on the other side of it, to see if I could be part of preventing the errors themselves, and solving the issues that forced patients to sue in order to get the support they needed,” he said.

“It made no sense to me that after a medical injury, patients should be further harmed by the claims handling process,” Mawer said.

It’s a classic and painful —some might say shameful— dilemma in health care risk management that injured parties traditionally felt shut out by the way claims are handled in the aftermath of medical error.

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Legal counsel might be given to the treating physician to not speak to the injured party. Getting any information about how the mistake happened, be it wrong-site surgery, the wrong medical dose given, or some other mistake, proved to be extremely difficult for most patients.

Many times, to get the information they needed, to get an apology, or to get the financial support they needed to heal, patients and/or their families did the only thing they thought they had available to them; they sued.

In the super-powered environment of Silicon Valley, Driver and his colleagues are marshalling analytics and the concept of design thinking to find a way to avoid that kind of outcome. &

Dan Reynolds is editor-in-chief of Risk & Insurance. He can be reached at [email protected]

More from Risk & Insurance

More from Risk & Insurance

Insurtech

Kiss Your Annual Renewal Goodbye; On-Demand Insurance Challenges the Traditional Policy

Gig workers' unique insurance needs drive delivery of on-demand coverage.
By: | September 14, 2018 • 6 min read

The gig economy is growing. Nearly six million Americans, or 3.8 percent of the U.S. workforce, now have “contingent” work arrangements, with a further 10.6 million in categories such as independent contractors, on-call workers or temporary help agency staff and for-contract firms, often with well-known names such as Uber, Lyft and Airbnb.

Scott Walchek, founding chairman and CEO, Trōv

The number of Americans owning a drone is also increasing — one recent survey suggested as much as one in 12 of the population — sparking vigorous debate on how regulation should apply to where and when the devices operate.

Add to this other 21st century societal changes, such as consumers’ appetite for other electronic gadgets and the advent of autonomous vehicles. It’s clear that the cover offered by the annually renewable traditional insurance policy is often not fit for purpose. Helped by the sophistication of insurance technology, the response has been an expanding range of ‘on-demand’ covers.

The term ‘on-demand’ is open to various interpretations. For Scott Walchek, founding chairman and CEO of pioneering on-demand insurance platform Trōv, it’s about “giving people agency over the items they own and enabling them to turn on insurance cover whenever they want for whatever they want — often for just a single item.”

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“On-demand represents a whole new behavior and attitude towards insurance, which for years has very much been a case of ‘get it and forget it,’ ” said Walchek.

Trōv’s mobile app enables users to insure just a single item, such as a laptop, whenever they wish and to also select the period of cover required. When ready to buy insurance, they then snap a picture of the sales receipt or product code of the item they want covered.

Welcoming Trōv: A New On-Demand Arrival

While Walchek, who set up Trōv in 2012, stressed it’s a technology company and not an insurance company, it has attracted industry giants such as AXA and Munich Re as partners. Trōv began the U.S. roll-out of its on-demand personal property products this summer by launching in Arizona, having already established itself in Australia and the United Kingdom.

“Australia and the UK were great testing grounds, thanks to their single regulatory authorities,” said Walchek. “Trōv is already approved in 45 states, and we expect to complete the process in all by November.

“On-demand products have a particular appeal to millennials who love the idea of having control via their smart devices and have embraced the concept of an unbundling of experiences: 75 percent of our users are in the 18 to 35 age group.” – Scott Walchek, founding chairman and CEO, Trōv

“On-demand products have a particular appeal to millennials who love the idea of having control via their smart devices and have embraced the concept of an unbundling of experiences: 75 percent of our users are in the 18 to 35 age group,” he added.

“But a mass of tectonic societal shifts is also impacting older generations — on-demand cover fits the new ways in which they work, particularly the ‘untethered’ who aren’t always in the same workplace or using the same device. So we see on-demand going into societal lifestyle changes.”

Wooing Baby Boomers

In addition to its backing for Trōv, across the Atlantic, AXA has partnered with Insurtech start-up By Miles, launching a pay-as-you-go car insurance policy in the UK. The product is promoted as low-cost car insurance for drivers who travel no more than 140 miles per week, or 7,000 miles annually.

“Due to the growing need for these products, companies such as Marmalade — cover for learner drivers — and Cuvva — cover for part-time drivers — have also increased in popularity, and we expect to see more enter the market in the near future,” said AXA UK’s head of telematics, Katy Simpson.

Simpson confirmed that the new products’ initial appeal is to younger motorists, who are more regular users of new technology, while older drivers are warier about sharing too much personal information. However, she expects this to change as on-demand products become more prevalent.

“Looking at mileage-based insurance, such as By Miles specifically, it’s actually older generations who are most likely to save money, as the use of their vehicles tends to decline. Our job is therefore to not only create more customer-centric products but also highlight their benefits to everyone.”

Another Insurtech ready to partner with long-established names is New York-based Slice Labs, which in the UK is working with Legal & General to enter the homeshare insurance market, recently announcing that XL Catlin will use its insurance cloud services platform to create the world’s first on-demand cyber insurance solution.

“For our cyber product, we were looking for a partner on the fintech side, which dovetailed perfectly with what Slice was trying to do,” said John Coletti, head of XL Catlin’s cyber insurance team.

“The premise of selling cyber insurance to small businesses needs a platform such as that provided by Slice — we can get to customers in a discrete, seamless manner, and the partnership offers potential to open up other products.”

Slice Labs’ CEO Tim Attia added: “You can roll up on-demand cover in many different areas, ranging from contract workers to vacation rentals.

“The next leap forward will be provided by the new economy, which will create a range of new risks for on-demand insurance to respond to. McKinsey forecasts that by 2025, ecosystems will account for 30 percent of global premium revenue.

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“When you’re a start-up, you can innovate and question long-held assumptions, but you don’t have the scale that an insurer can provide,” said Attia. “Our platform works well in getting new products out to the market and is scalable.”

Slice Labs is now reviewing the emerging markets, which aren’t hampered by “old, outdated infrastructures,” and plans to test the water via a hackathon in southeast Asia.

Collaboration Vs Competition

Insurtech-insurer collaborations suggest that the industry noted the banking sector’s experience, which names the tech disruptors before deciding partnerships, made greater sense commercially.

“It’s an interesting correlation,” said Slice’s managing director for marketing, Emily Kosick.

“I believe the trend worth calling out is that the window for insurers to innovate is much shorter, thanks to the banking sector’s efforts to offer omni-channel banking, incorporating mobile devices and, more recently, intelligent assistants like Alexa for personal banking.

“Banks have bought into the value of these technology partnerships but had the benefit of consumer expectations changing slowly with them. This compares to insurers who are in an ever-increasing on-demand world where the risk is high for laggards to be left behind.”

As with fintechs in banking, Insurtechs initially focused on the retail segment, with 75 percent of business in personal lines and the remainder in the commercial segment.

“Banks have bought into the value of these technology partnerships but had the benefit of consumer expectations changing slowly with them. This compares to insurers who are in an ever-increasing on-demand world where the risk is high for laggards to be left behind.” — Emily Kosick, managing director, marketing, Slice

Those proportions may be set to change, with innovations such as digital commercial insurance brokerage Embroker’s recent launch of the first digital D&O liability insurance policy, designed for venture capital-backed tech start-ups and reinsured by Munich Re.

Embroker said coverage that formerly took weeks to obtain is now available instantly.

“We focus on three main issues in developing new digital business — what is the customer’s pain point, what is the expense ratio and does it lend itself to algorithmic underwriting?” said CEO Matt Miller. “Workers’ compensation is another obvious class of insurance that can benefit from this approach.”

Jason Griswold, co-founder and chief operating officer of Insurtech REIN, highlighted further opportunities: “I’d add a third category to personal and business lines and that’s business-to-business-to-consumer. It’s there we see the biggest opportunities for partnering with major ecosystems generating large numbers of insureds and also big volumes of data.”

For now, insurers are accommodating Insurtech disruption. Will that change?

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“Insurtechs have focused on products that regulators can understand easily and for which there is clear existing legislation, with consumer protection and insurer solvency the two issues of paramount importance,” noted Shawn Hanson, litigation partner at law firm Akin Gump.

“In time, we could see the disruptors partner with reinsurers rather than primary carriers. Another possibility is the likes of Amazon, Alphabet, Facebook and Apple, with their massive balance sheets, deciding to link up with a reinsurer,” he said.

“You can imagine one of them finding a good Insurtech and buying it, much as Amazon’s purchase of Whole Foods gave it entry into the retail sector.” &

Graham Buck is a UK-based writer and has contributed to Risk & Insurance® since 1998. He can be reached at riskletters.com.