4. Machine Learning, Social Determinants, and Data Selection for Population Health

(Analytics, Innovative Data and Analytics Transformation, Machine Learning/AI, Population Health — Course Level: Intermediate)

Ninety percent of the $3.3T spent in the U.S. annually for healthcare is for people with chronic and mental health conditions. It can be overwhelming to determine which data sources are best for segmenting the population to identify the patients that could benefit the most from population health interventions—critical for ensuring health during a pandemic. Are EMR data components, social determinants of health, claims data, clinical data, or other data the most relevant? This session will describe the use of various data sets to drive a machine learning platform, identify the relative contributions of the data, and discuss which sources are the most important for accurate predictive modeling.

Jason Jones, PhDChief Data Scientist, Health Catalyst

Terri H. Steinberg, MD, MBA, FACPChief Health Information Officer & Vice President, Population Health Informatics, ChristianaCare Health System

Terri H. Steinberg, MD, MBA, FACP

(Chief Health Information Officer & Vice President, Population Health Informatics, ChristianaCare Health System)

Terri Steinberg, M.D., M.B.A., FACP is the Chief Health Information Officer and Vice President of Population Health Informatics at Christiana Care Health System, a large multi-entity healthcare organization in Delaware. Dr. Steinberg has lectured and consulted extensively on methods to ensure successful technology adoption by physicians and nurses, on the positive impact of technology on safe medication practice, and on the use of technology to drive Population Health management. As a clinician as well as a software developer, Dr. Steinberg has used her experience to guide the optimal implementation of clinical systems in a manner that is well-accepted by doctors and nurses. Dr. Steinberg currently devotes much of her time to population health IT, to provide innovative technology services to Christiana Care Health System’s care management company, CareLink Care Now. Dr. Steinberg led the development of the IT platform for Christiana Care Health System’s Center for Medicare and Medicaid Innovation (CMMI) award that led to the technology-enabled prediction analytics care management platform for CareLink Care Now. She continues to innovate in population health technology using various data sources for new methods to segment populations. Dr. Steinberg’s experience includes tenure at Siemens Medical Solution, where she participated in the early development of the Soarian clinical suite of applications. She has consulted on technology matters for the Institute for Safe Medical Practice and has worked with many hospitals and healthcare organizations as they endeavor to implement advanced clinical systems. Dr. Steinberg is an Internist and Geriatrician. She holds a certification in Internal Medicine from the American Board of Internal Medicine, is a Fellow of the American College of Physicians, and was among the first group of physicians to achieve subspecialty certification in Clinical Informatics. Dr. Steinberg completed her undergraduate studies at the Sophie Davis Center for Biomedical Education, a six-year accelerated medical program at the City College of New York. She earned her Medical Degree from the Mount Sinai School of Medicine in New York. She completed her Residency at the State University of New York School of Medicine at Stony Brook and earned an MBA from Jones University. Dr. Steinberg has two adult daughters and lives in Delaware and Philadelphia with her husband and two Labrador Retrievers Max, and Molly.

Thank You for a Great Virtual Summit! See You Next Year for HAS 21.

Replay HAS 20 Virtual

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4. Machine Learning, Social Determinants, and Data Selection for Population Health

Thank You for a Great Virtual Summit! See You Next Year for HAS 21.

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