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Infographic: The Risk List

7 Emerging Technology Risks

Innovative technology presents unforeseen risk exposures. Presented by Travelers.
By: | August 15, 2014 • 1 min read
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The Risk List is presented by:


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The R&I Editorial Team may be reached at riskletters@lrp.com.
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Analytics

Leveraging a Big Data Approach

Insurers need an enterprisewide data and analytics approach to products and customer service that includes social media.
By: | August 14, 2014 • 4 min read
Big Data

Insurance companies will be able to capitalize new market opportunities and avoid costly exposures when they can better analyze and act on lessons from Big Data.

That’s one of the main findings from two recent industry reports highlighting the need for enterprisewide management of big data, including unstructured data from social media and mobile devices.

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Very few insurers have an enterprisewide data and analytics approach. Most focus on targeted business functions such as pricing, underwriting and financial management, according to a survey of 72 P&C insurance professionals by Strategy Meets Action, an insurance strategic advisory firm in Boston.

“But [a siloed approach] is not going to be enough to differentiate and compete in this fast-changing marketplace,” said SMA partner Denise Garth. “Data analytics needs to take an enterprisewide approach that includes external telematics, [and] social and mobile data, so they can really leverage the power of analytics.”

Only about half of P&C insurers report that they have advanced reporting (12 percent enterprisewide and 36 percent in key areas).

Social Media and Mobile

Leveraging unstructured data from social and mobile is particularly important in designing products that customers want, according to a study by IBM’s Institute of Business Value.

Senior executives from 80 insurers surveyed by IBM said they are leveraging the cloud, big data, analytics and social technologies to “leapfrog the competition” in this way.

And nearly three-fourths (72 percent) of the insurers identified by IBM as market leaders in the study said they use social media to communicate with customers “to a considerable degree” — almost twice as much as non-leaders.

“Structures don’t make a lot of sense if insurers are building them in a vacuum — they need to reflect how insurers are targeting certain customer sets.” — Christian Bieck, global insurance leader, IBM Institute of Business Value

Big data analytics should incorporate four dimensions — customers, interactions, services and structure, said Christian Bieck, IBM Institute’s global insurance leader who is based in Stuttgart, Germany.

“The combination of those dimensions is very important, because insurers can only build new products and services in a sensible way if they have insight into what the customer actually wants,” he said.

“Structures don’t make a lot of sense if insurers are building them in a vacuum — they need to reflect how insurers are targeting certain customer sets,” Bieck said.

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Strategies like these enable insurers to transition from the more traditional “organization-centric,” product-driven model to one that reflects the emerging “everyone-to-everyone (E2E) economy,” based on higher levels of collaboration between companies and their customers, Bieck said.

Insurers need to bring their historically strong analytical capabilities for predicting exposures to the marketing arena, particularly to cross-sell and up-sell to existing customers, said Sharad Sachdev, a managing director at Accenture in New York.

As part of this, insurers should follow the lead of the banking industry and analyze internal data of past marketing successes as well as competitor data and unstructured data from social and mobile to develop “propensity scores” — to determine which customers are more likely than others to accept certain offers.

“Consumers have many choices, so insurers can’t make offers in a vacuum, and that’s where social media comes into play,” Sachdev said.

Focus on Core Business

John Lucker a principal at Deloitte Consulting LLP in Hartford, Conn., who is the firm’s global advanced analytics and modeling market leader, said that most insurers are still struggling with how to best gain insights from past and current events, and are just beginning to adequately use predictive analytics for future events.

However, he said, “I think emerging technologies and analytics should be more R&D and exploratory, while companies should spend the bulk of their time getting good at the core of their business.”

If an insurer’s underlying organizational structure is not profitable, going after more customers isn’t going to make them more profitable; in fact, it might actually raise their expense ratio and make them less profitable, he said.

“They need to first be really good at pricing and understanding exposures, before they focus on getting more customers,” Lucker said. “I would suggest once an insurer has a combined ratio well below 100, maybe that’s something to talk about.”

The SMA report indicated that P/C insurers will spend more on predictive analytics, with nearly two in five (38 percent) planning budget increases of at least 6 percent per year over the next three years.

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But, the bulk of the spend will be on claims recovery, and fraud prevention and detection, with almost half of the respondents piloting projects or planning future investments.

Insurers are beginning to evolve analytics for marketing and distributions, with survey respondents reporting new projects in customer segmentation, “single view” of the customer, and customer “lifetime value.”

Customer segmentation is the top area for new projects over the next three years, with 43 percent of insurers planning efforts in that area, and another 10 percent piloting or evaluating today, according to SMA.

Katie Kuehner-Hebert is a freelance writer based in California. She has more than two decades of journalism experience and expertise in financial writing. She can be reached at riskletters@lrp.com.
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Sponsored: Rising Medical Solutions

Beware of Medical Hyper-Inflation!

Workers’ comp medical costs are spiking in hidden pockets across the country.
By: | August 4, 2014 • 5 min read
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Historically, medical inflation rates nationwide have been fairly consistent. However, data is now showing that medical inflation is not a “one size fits all” phenomenon, with hyperinflation spikes occurring in some locations…but not others.

This geographical conundrum means hyperinflation can occur as narrowly as two hospitals having dramatically different charges on the same street in Anytown, USA. So, uncovering these anomalies is akin to finding the proverbial needle in a haystack.

“In recent years, workers’ compensation saw claim frequency decline, while severity rates went up. This basically means that increased job safety has offset increased medical costs,” explained Jason Beans, CEO of Rising Medical Solutions, a national medical cost management firm. “So, whenever a client’s average cost-per-claim went up, it was almost always caused by catastrophic, outlier-type claims.”

But beginning in 2013 and extending into 2014, Beans said, things changed. “I’ve never seen anything like it in my 20-plus years in this industry.”

SponsoredContent_Rising“Our analytics made it very clear that small pockets around the country are experiencing what could only be described as medical cost hyperinflation. The big spikes in some clients’ claim costs were driven by a broader rise in medical costs, rather than catastrophic claims or severity issues.”
– Jason Beans, CEO, Rising Medical Solutions

Data dive uncovers surprising findings

On a national level, most experts describe medical costs increasing at a moderate annual rate. But, as often is the case, sometimes a macro perspective glosses over a very different situation at a more micro level.

“Our analytics made it very clear that small pockets around the country are experiencing what could only be described as medical cost hyperinflation,” explained Beans. “The big spikes in some clients’ claim costs were driven by a broader rise in medical costs, rather than catastrophic claims or severity issues.”

This conclusion is supported by several key data patterns:

  • Geographic dependency: While many payers operate at the national level, only relatively small, geographically clustered claims showed steep cost increases.
  • Median cost per claim: The median cost per claim, not just the average, increased greatly within these geographic clusters.
  • Hospital associated care: Some clusters saw a large increase in the rates and/or the number of services provided by hospital systems, including their broad array of affiliate locations.
  • Provider rates: Other clusters saw the same hospital/non-hospital based treatment ratios as prior years, but there was a material rate increase for all provider types across the board.
  • Utilization increases: Some clusters also experienced a larger number of services being performed per claim.

One of the most severe examples of hyperinflation came from a large Florida metropolitan area which experienced a combined 47 percent workers’ compensation healthcare inflation rate. Not only was there a dramatic increase in the charge per hospital bill, but utilization was also way up and there was a shift to more services being performed in a costlier hospital system setting.

“The growth of costs in this Florida market stood in stark contrast to neighboring areas where most of our clients’ claim costs were coming down or at least had flat-lined,” Beans said.

An Arizona metropolitan area, on the other hand, experienced a different root cause for their hyperinflation. Regardless of provider type, rates have significantly increased over the past year. For example, one hospital system showed dramatic increases in both charge master rates and utilization. “Even with aggressive discounting, the projected customer impact in 2014 will be an increase of $773,850 from this provider alone,” said Beans.

ACA: Unintended consequences?

So what is going on? According to Beans, a potential driver of these cost spikes could be unintended consequences of the Affordable Care Act (ACA).

First, the ACA may be a contributing factor in recent provider consolidation. While healthcare industry consolidation is not new, the ACA can prompt increased merger and acquisition efforts as hospitals seek to improve financials and healthcare delivery by forming Accountable Care Organizations (ACO). ACOs, the theory goes, can take better advantage of value-based fee arrangements in existing and new markets.

“As hospital systems grow by acquisition, more patients are being brought under hospital pricing structures – which are significantly more expensive than similar services at smaller facilities such as independent ambulatory surgery centers and doctors’ offices,” Beans said.

Unfortunately, there is little evidence that post-consolidation healthcare systems have become more efficient, only more expensive. For example, a recent PwC study reported that hospital IT infrastructure consolidation alone is projected to add 2 percent to hospital costs in 2015.

Another potential ACA consequence is group health insurers may have less incentive to keep medical costs down. An ACA provision requires that 85% of premium in the large group market must be spent on medical care and provider incentive programs, leaving 15% of premium to be allocated towards administration, sales and subsequent profits. “Fifteen percent of $5000 in medical charges is a lot less than 15% of $10,000,” said Beans. “This really limits a group health carrier’s incentive to lower medical costs.”

How do increased group health rates relate to workers’ comp? In some markets, a group health carrier may use its group health rates for their work comp network so any rate increase impacts both business types.

In the end, medical inflation is inconsistent at best, with varying levels driven by differing factors in different locations – a true “needle in the haystack” challenge.

What to do?

Managing these emerging cost threats, whether you have the capabilities internally or utilize a partner, means having the tools to pinpoint hyperinflation and make adjustments. Beans said potential solutions for payers include:

  • Using data analytics: Data availability is at an all-time high. Utilizing analytical tools to spot problem areas is critical for executing cost saving strategies quickly.
  • Moving services out of hospital systems: Programs that direct care away from the hospital setting can substantially reduce costs. For example, Rising’s surgical care program utilizes ambulatory service centers to provide predictable, bundled case rates to payers.
  • Negotiating with providers: Working directly with providers to negotiate bill reductions and prompt payment arrangements is effective in some markets.
  • Underwriting with a micro-focus: For carriers, it is vital that underwriters identify where these pockets of hyperinflation are so they can adjust rates to keep pace with inflation.

“This trend needs to be closely watched,” Beans said. “In the meantime, we will continue to use data to help payers of medical services be smarter shoppers.”

Contact Rising Medical Solutions: info@risingms.com | www.risingms.com

This article was produced by the R&I Brand Studio, a unit of the advertising department of Risk & Insurance, in collaboration with Rising Medical Solutions. The editorial staff of Risk & Insurance had no role in its preparation.


Rising Medical Solutions provides medical cost containment, care management and financial management services to the workers’ compensation, auto, liability and group health markets.
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