Research

How Advanced Analytics Can Prevent Medicaid Fraud

By Ellen Joyner-Roberson, Victor Sterling, Robert Morison, Aug 15, 2018

Available to Research & Advisory Network Clients Only

Medicaid fraud is prevalent, costly, and difficult to prevent. With a combination of more integrated data and advanced analytics, state agencies have the opportunity to turn the tables on fraudsters. They can accelerate the transition from detection to prevention, as new forms of fraud are recognized faster and fewer improper payments go out the door. To explore the challenges and opportunities, IIA spoke with SAS Institute’s Ellen Joyner-Roberson, CFE Principal Marketing Manager, Fraud and Security Intelligence, and Victor Sterling, Principal Solutions Architect.

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Hearing Aids (Or, Metaphors are Personal)

By Kathryn Hume, Mar 15, 2018

In November, I gave the opening keynote at an event about the future of commerce at the Rotman School of Management in Toronto, where I shared four insights outlined in this blog and also heard a great anecdote from an audience member.

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When it comes to cutting-edge analytics initiatives, you’re probably more inclined to think of companies like Amazon and Netflix, which have become synonymous with the savvy use of analytics to gauge customer affinity and deliver recommendations. But pharma companies are—or could be—well equipped to leverage data and analytics to deliver an even better informed and better targeted customer experience.

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Increasing the market value and operating performance of your company in the new digital world requires that you harness data analytics as a major contributor to your competitive success.

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Inquiry Response: Thoughts on Governance for Successful Enterprise Analytics

By IIA Expert, Dec 18, 2017

Available to Research & Advisory Network Clients Only

Inquiry:

We are becoming more data-centric at an organizational level, but do not have a governance process in place. In our highly regulated industry, how might we approach this? What should we be thinking about?

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Putting Unexpected Results to Work at Sanford Health

By Robert Morison, Nov 08, 2017

Available to Research & Advisory Network Clients and Professional Members

An initiative in predictive analytics at Sanford Health yielded unexpected results and valuable lessons learned. A perennial challenge for health care providers is recognizing and anticipating which patients are incurring the greatest effort and expense. Some studies have suggested that as much as 80 percent of total health care spent is on only 20 percent of patients. With the migration to population health, where providers aim to improve quality while decreasing costs, high-utilization patients have become a focus for health systems.

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2017 Analytics Symposium - Chicago Summary and Recordings

By Jack Phillips, Oct 31, 2017

Available to Research & Advisory Network Clients Only

Earlier this month, IIA held its 8th Analytics Symposium and awarded the 2017 ANNY Excellence in Analytics Award to Cisco Systems in a packed house at the Gleacher Center in Chicago. Read the key themes of the event and watch the session recordings on demand.

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Analytics Innovation in Healthcare

By Maryam Saleh, Oct 31, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Chicago Session Recording

Maryam Saleh describes current trends in healthcare that have opened an opportunity for data analytics startups. She weaves in her experience developing analytics software for the brain at Cyberkinetics and describe some of the other healthcare startups she’s encountered in her role at health tech incubator MATTER.

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Resuscitating a lifelong dream with data science

By Sarmila Basu, Oct 05, 2017

Thousands of people die every year from a common infection that you can get when you go to the hospital. It’s called Clostridium Difficile 101 (or CDIFF for short), and people get infected with it 500,000 times per year, and devastatingly, it kills 29,000 people per year in the U.S. How are data scientists like those on my Data and Decision Sciences team in Microsoft IT able to help?

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Predictive Modeling at Cleveland Clinic

By Robert Morison, Sep 28, 2017

Available to Research & Advisory Network Clients Only

Headquartered in Cleveland, Ohio, Cleveland Clinic is a nonprofit, multi-specialty academic medical center that integrates clinical and hospital care with research and education. With more than 4,400 beds across the main campus and 10 regional hospitals, plus 18 full-service family health centers, Cleveland Clinic is one of the largest and most respected hospitals in the country.For the last five years, Cleveland Clinic has been deploying progressively more sophisticated and predictive analytics to address one of the organization’s core challenges – optimizing the utilization of operating rooms (OR). The ORs represent significant physical assets and a major source of operational cost. Their scheduling also includes surgeons and other physicians, nurses, anesthesia, and other support teams. That makes scheduling ORs very complex, especially at the main campus where 81 ORs form one of the largest surgery sites in the world. Appropriate utilization of ORs maximizes patient access to surgery and minimizes the direct and opportunity costs of downtime. When the organization is not able to forecast volume accurately and schedule appropriately, ORs get backed up or out of sync, and problems cascade down the line into the ICUs and hospital floors, with repercussions for hospital occupancy and patient throughput.

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