Please join us for the next Institute for Clinical and Translational Research (ICTR) Enrichment Seminar on April 8 from noon to 1 p.m.
Michelle D. Shardell, PhD, MS, will present on “Research with Real-World Data: Analytical Challenges and Opportunities.” Shardell is a professor and vice chair of research in epidemiology and public health, University of Maryland School of Medicine (UMSOM); professor, Institute for Genome Sciences; director, Division of Biostatistics and Bioinformatics, Epidemiology, and Public Health (UMOSM); director, Institute for Clinical & Translational Research (ICTR) Biostatistics Core, University of Maryland, Baltimore (UMB); and co-director, Biostatistics and Informatics Core, Claude D. Pepper Older Americans Independence Center, UMB.
Link to register: UMB ICTR Enrichment Series Seminar presented by Dr. Michelle Shardell
Discussion Synopsis
Real-world data (RWD) in health care comprise data routinely collected in electronic health records, registries, administrative claims, and more. RWD offer tremendous research opportunities due to their size, population coverage, and resource efficiency. However, since RWD are not collected as part of a rigorously designed epidemiologic study, research with RWD is challenging, owing to its vulnerability to multiple sources of bias. In this talk, Dr. Shardell will focus on two case studies involving RWD collected from Medicare fee-for-service beneficiaries who sustained a hip fracture.
In the first study, Dr. Shardell will describe a strategy to overcome informative observation time bias when estimating associations of patient-level characteristics with physical recovery using data from the Medicare Minimum Dataset, a federally mandated standardized clinical assessment tool administered by U.S. Center for Medicare & Medicaid Services to inform care management for residents in Medicare- and Medicaid-certified nursing facilities.
In the second study, Dr. Shardell will describe multiple strategies across the artificial intelligence pipeline to enhance algorithmic fairness when predicting number of days at home, a patient-centered outcome operationalized using Medicare claims data, during the first six months after discharge from hospitalization due to hip fracture.
Dr. Shardell will conclude with a discussion on RWD resources and how the UMB ICTR Biostatistics Core can support your research with RWD.
For more information, please contact:
410-328-2488 | ICTR-Navigator@umaryland.edu
Organized by UMB Institute for Clinical and Translational Research (ICTR)