Document Type
Presentation
Loading...
Media is loading
Publication Date
6-2-2021
Abstract
Opportunities are expanding for women interested in health data science. This panel of leading professionals from academia and industry will highlight the accomplishments, perspectives and varied roles available for data professionals in the healthcare sector. Learn how to leverage your skills and talents into this expanding and dynamic field.
Presentation: 58:41
Recommended Citation
LaNoue, PhD, MS, Marnie; Schwebke, MD, MA, MPH, Kay; Zhao, PhD, Emily; Phillips-Wren, PhD, Gloria; McKniff, MBA, BSN, RN-BC, Sueanne; and Walsh, DHSc, MS, MBA, Karen, "Women in Health Data Science and Statistics" (2021). Population Health Leadership Series: PopTalk Webinars. Paper 35.
https://jdc.jefferson.edu/phlspoptalk/35
Language
English
COinS
Comments
Featuring:
Marnie LaNoue, PhD, MS
Professor, Statistics & Measurement
Center for Research Development and Scholarship
Vanderbilt University School of Nursing
Dr. LaNoue is an experimental psychologist, research methodologist and biostatistician. She has a strong record of collaborative research and research leadership, particularly in health services and outcomes research. Her current interests include the methods of patient-centered outcomes research (PCOR), particularly the development and testing of patient engagement evaluation approaches.
She maintains a strong interest in assessment of adverse childhood experiences, specifically the evaluation of assessment strategies and measurement models for childhood trauma. Dr. LaNoue joined VUSM in 2021 after 10 years at Thomas Jefferson University in the colleges of Medicine and Population Health where she held multiple positions in research capacity development & infrastructure building, and research leadership.
Kay Schwebke, MD, MA, MPH
Medical Director, Optum Clinical Analytics and Product Solutions
Optum Enterprise Analytics
Kay Schwebke, MD, MPH, MA, is a Medical Director that leads the Optum Clinical Analytics and Product Solutions team. Board certified in Internal Medicine and Infectious Diseases, she has extensive quality measurement experience and was involved in the initial development of two Symmetry quality measurement products. Over the years, Kay has collaborated with several national organizations focused on improving value within the healthcare system, including the National Quality Forum, AMA Physician Consortium for Performance Improvement, Infectious Diseases Society of America, American Gastroenterological Association, American Academy of Neurology, and the Agency for Healthcare Research and Quality.
Kay’s clinical expertise includes primary care and consultative management of patients infected with hepatitis C (HCV) and HIV. Until recently, she maintained a part-time clinical practice at Hennepin Healthcare (Minneapolis) where she was the medical director of the HIV and hepatitis C co-infection clinic.
Emily Zhao, PhD
Vice President, Data Science and Advanced Analytics
IQVIA
Emily Zhao is Vice President, Data Science and Advanced Analytics at IQVIA. She is a strategic leader and innovator in applying advanced analytics, especially artificial intelligence and machine learning, to drive insights from big data in healthcare and construct solutions to optimize outcome. Her in-depth knowledge and broad experience spanning biomedical discovery and clinical research, Real-World insights, and commercial strategy have allowed her holistic understanding of the opportunities and challenges in the healthcare industry and enabled her to approach complex problems from a unique vantage point. At IQVIA, she leads a team of data scientists and advanced analytics consultants to deliver innovative solutions for healthcare transformation. Dr. Zhao’s career prior to IQVIA includes various positions at pharmaceutical and healthcare payer companies.
Dr. Zhao holds a PhD in Immunology from the University of Pennsylvania School of Medicine, and an MS in Engineering in Computer and Information Science from the University of Pennsylvania School of Engineering. She also holds a postgraduate marketing certificate from the Wharton School. Dr. Zhao is a co-inventor of a patent and multiple pending patents in artificial intelligence for healthcare, and she frequently speaks at industry conferences.
Gloria Phillips-Wren, PhD
Professor, Information Systems, Law and Operations
Sellinger School of Business and Management
Loyola University Maryland
Gloria Phillips-Wren is a Professor in the Department of Information Systems, Law and Operations Management at Loyola University Maryland. She is founder and co-editor-in-chief of Intelligent Decision Technologies (IDT) and Associate Editor of the Journal of Decision Systems (JDS). Dr. Phillips-Wren is a past-chair of the Special Interest Group on Decision Support and Analytics (SIGDSA) under the Association of Information Systems (AIS), Secretary of IFIP WG8.3 Decision Support (DS), and leader of a focus group for Knowledge Engineering Systems (KES) International in intelligent decision technologies. Her research interests and publications are in decision making and support, analytics, business intelligence, healthcare IT, and strategic uses of technologies such as social media. Her work appears in Decision Support Systems, Omega, Journal of Network and Computer Applications, Journal of Organizational Computing and Electronic Commerce, Journal of Decision Support, Expert Systems with Applications, Big Data, IT & People, among others. She has also published 13 books (including co-edited), along with numerous book chapters and conference proceedings.
Sueanne McKniff, MBA, BSN, RN-BC
Community Connect Program Manager
WellSpan Health System
Sueanne McKniff MBA BSN RN-BC is the program manager for the Community Connect program for WellSpan Health in Pennsyania. She received a Bachelor of Science degree in Nursing from York College of Pennsylvania and an Executive MBA from Loyola University in Maryland. In addition to eighteen years of clinical nursing experience in the emergency department of a trauma center, she was a member of the Health Service Design team which applied methodologies suchs as Lean and Six Sigma to address process inefficiencies in health care system. She has been instrumental in the implementations and optomizations of two electronic health records across a large community health care system. Her experience as a clinical informaticisist further solidified the importance of displaying pertinent, just-in-time data to decrease the potential of error during the delivery of care.
Karen Walsh, DHSc, MS, MBA
Assistant Professor, Population Health
Program Director, Health Data Science
College of Population Health
Dr. Karen Walsh is an Assistant Professor of Population Health 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.