Document Type
Presentation
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Publication Date
1-13-2021
Abstract
Health Data Science is a dynamic multi-disciplinary field that uses statistics, algorithms, and technology to construct insights from available data to address complex healthcare problems. This expanding field of practice requires diverse interdisciplinary teams that combine their strengths in clinical, technical, programming and operations.
This webinar features a clinician and a data scientist who will share their insights about career opportunities in this expanding field of practice.
Presentation: 53:19
Recommended Citation
Scherpbier, MD, MS, Harm and Walsh, DHSc, MS, MBA, Karen, "What is Health Data Science? An Introduction for Health Care Professionals and Clinicians" (2021). Population Health Leadership Series: PopTalk Webinars. Paper 22.
https://jdc.jefferson.edu/phlspoptalk/22
Language
English
Comments
Harm J. Scherpbier, MD, MS
Chief Medical Information Officer
HealthShare Exchange
Dr. Scherpbier is the Chief Medical Information Officer for HealthShare Exchange, the health information exchange organization serving the greater Philadelphia region. Harm teaches Health Informatics and Population Health Analytics at Jefferson College of Population Health. His educational style and philosophy emphasize hands-on, practical learning, teamwork and collaboration, and synergy with industry and market trends.
Previously, Harm was Chief Medical Information Officer at Main Line Health, a five-hospital Integrated Health Network near Philadelphia, PA, where he was responsible for the implementation of healthcare information systems and electronic patient records throughout the health system. He held positions in software engineering and product design and development at Siemens Health Services, CareScience, Aetna US Healthcare and SMS.
Karen Walsh, DHSc, MS, MBA
Program Director, Health Data Science
Associate Program Director, HEOR Fellowship
Jefferson College of Population Health
Dr. Karen Walsh is a statistician and the Program Director of Health Data Science at the Jefferson College of Population Health (JCPH). Dr. Walsh’s research focuses on predictive modeling, clinical informatics and health services. Her most recent research is around multiple sclerosis (MS) and focuses on geographic variation in MS care, quality, value, and predicting clinical endpoints. More specifically, from her recent dissertation which compared traditional statistical modeling approaches versus predictive analytics methods for predicting MS relapse and all-cause urgent care.
Dr. Walsh has taught advanced statistics courses at JCPH, mentors JCPH Outcomes Research Fellows and serves as a chair on master's Capstone Projects. Before coming to Jefferson, Dr. Walsh held positions at Independence Blue Cross, UnitedHealthcare and Optum. Her most recent role she served as Director of Research and Methods within the Informatics and Data Science area at Optum.