Clinical phenotyping, which leverages real-world data primarily from electronic health records, is critical to clinical and translational science, clinical and quality registries, and improving direct patient care. While automated digital and electronic phenotyping methods have made significant advances and hold great promise, multiple gaps remain, including: reproducibility, clinical accuracy, and integration for knowledge generation and delivery of patient care. This panel will discuss these challenges and describe future trends for phenotyping along these important axes. Four expert panelists from leading health systems will provide information on the current state and describe their vision for the future of real-world phenotyping. Facilitated by a seasoned moderator, the panel and the audience will engage in a conversation on factors that influence their perspectives, the impacts of new phenotyping advancements and technologies, and what is needed to achieve next-generation capabilities. Discussants will review tensions between current and future approaches to phenotyping for real-world applications and the implications for informatics research, clinical quality, and value-based care. With a focus on multi-institutional efforts, panelists will describe potential barriers and facilitators to delivering next generation clinical phenotyping resources.
Learning Objectives
- Explain the role of clinical phenotyping in clinical and translational science, quality registries, and improving patient care by leveraging real-world data from electronic health records (EHRs).
- Identify key gaps in current automated phenotyping methods, including challenges related to reproducibility, clinical accuracy, and integration into clinical workflows.
- Describe emerging trends and future directions in real-world phenotyping, as outlined by experts from leading health systems.
- Analyze the implications of evolving phenotyping technologies for informatics research, clinical quality improvement, and value-based care models.
- Evaluate potential barriers and facilitators to implementing next-generation clinical phenotyping approaches in multi-institutional settings.
Moderator
- Genevieve Melton-Meaux, MD, PhD (University of Minnesota)
Speakers
- David Vawdrey, PhD (Geisinger)
- Marisa Conte, MLIS (University of Michigan)
- Rachel Richesson, PhD, MPH, FACMI (University of Michigan Medical School)
Continuing Education Credit
Physicians
The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The American Medical Informatics Association designates this online enduring material for 1.25 AMA PRA Category 1™ credits. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Claim credit no later than March 10, 2028 or within two years of your purchase date, whichever is sooner. No credit will be issued after March 10, 2028.
ACHIPsTM
AMIA Health Informatics Certified ProfessionalsTM (ACHIPsTM) can earn 1 professional development unit (PDU) per contact hour.
ACHIPsTM may use CME/CNE certificates or the ACHIPsTM Recertification Log to report 2025 Summit sessions attended for ACHIPsTM Recertification.
Claim credit no later than within three years of the release date or within two years of your purchase date, whichever is sooner.