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Data analytics are vital to the success for healthcare payers to reduce resources and cost, and improve beneficiary experience while providing better patient care. The majority of that data is unstructured and in many instances difficult to access and analyze. This session will discuss several interesting use cases, opportunities, and challenges that need to be overcome to deliver value to the healthcare payer community.
Viet Nguyen is an internist, pediatrician, clinical informaticist and consultant to government and commercial organizations in developing interoperable workflows and technologies. He has over 15 years of experience in Health IT focused on interoperability standards and product development. Formerly the CMIO for Lockheed-Martin and Leidos Corporation, Dr. Nguyen is a nationally recognized FHIR educator, a FHIR Foundation Board Member, CMO for Logica Health (formerly Health Services Platform Consortium) and Technical Director for the HL7 Da Vinci Project. The Da Vinci Project is a Payer-Provider-Vendor collaboration addressing value-based-care use cases and developing HL7 FHIR-based, standard solutions.
Lincoln's data science teams build analytic products across several Highmark business functions including clinical services and revenue cycle. Those products have leveraged advanced analytics to generate personalized member insights that drive efficiencies and savings for the health plan, providers, and members. Aside from workflow app development, his teams have developed several robotic process automations that work side by side with clinicians. Those bots employ image processing and advanced analytics in their work. Several workflow apps employ real time machine learning and natural language processing to enhance identification and stratification of members. Prior to working at Highmark, Lincoln worked as a data scientist at the UPMC Technology Development Center and then at one of their portfolio companies. He graduated from Rutgers Medical School and received his MS from Princeton University working on the use of real time machine learning to stratify and identify members at risk of various outcomes.
Josh Weiner is responsible for improving member engagement with a focus on health outcomes through designing clinical interventions that manifest across Aetna and CVS channels. Josh also is co-leading an executive workstream responsible in particular for the transformation of CVS stores – with the goal of transitioning from sick-care to health-care. However, Josh’s journey to transform healthcare didn’t start with Aetna. Previously, Josh co-led McKinsey’s Global Healthcare Journey Analytics team, where he focused on transforming healthcare through the development of novel drugs and patient experiences, particularly in Europe. Lastly, Josh was the co-founded ActivAided Orthotics, a medical devices company that focused on creating a wearable back brace that utilized machine learning to alleviate pain and reduce the risk of post-operative injury. ActivAided Orthotics was acquired in 2016.