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Demonstrating product value through the integration of de-identified health claims and EHR data

Date:11/19/2020

Time:1:00 PM EST

Duration:60 minutes



Health care expenditures continue to rise, fueled in part by an increase in the number of specialty medications that have been developed across a wide range of diseases from immunology to high cholesterol. The challenge for life science companies, payers, providers and patients is how to identify those product innovations that are going to have the greatest impact on patient outcomes at a cost that doesn’t significantly add to the financial burden of health care.  

Traditional models of value have leveraged administrative claims data and been heavily weighted toward demonstrating value based only on cost, or the reduction in high cost utilization, but miss identifying the true benefits in patients' clinical outcomes. The integration of EHR and claims data can provide a new foundation on which to base models of value and provide the ability to simultaneously solve for cost and clinical outcomes. This methodology can better connect the health care ecosystem to more effectively balance the trade-offs between costs and population health.  

This webinar will demonstrate how the integration of clinical and claims data can:
   • Provide a unique perspective on value
   • More clearly identify market opportunities
   • Enable products to stand out in a crowded marketplace

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Speakers

Lou Brooks

Commercial Analytics, Life Sciences

Optum

Lou Brooks is vice president of commercial analytics in the life sciences business at Optum. For the past 20 years, Brooks has served in a variety of data and analytics roles, all of them focused on developing a better understanding of customer behavior across a number of industries. Brooks has worked in a wide variety of therapeutic categories, including autoimmune, respiratory, and central nervous system disorders, oncology, and cardiovascular conditions. He holds a master’s degree in economics from Rutgers University.
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Demonstrating product value through the integration of de-identified health claims and EHR data
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