LeaRRn Webinar: Rachel Richesson, PhD, MPH, MS, FACMI presents DLearning to Use EHR Data in Learning Health Systems: Focus on Computable Phenotypes

Starts:
11:00 am on Thursday, February 9, 2023
Ends:
12:30 pm on Thursday, February 9, 2023
URL:
https://sites.brown.edu/learrn/home-2/edutrain/upcoming-events/
Register:
https://bostonu.zoom.us/webinar/register/WN_tb9CKKajQLKcffHDm_1H8Q
Contact Organization:
SPH/LeaRRn
Contact Name:
Kara Jackman
Contact Phone:
781-844-6368
Fees:
free
Speakers:
Rachel Richesson, PhD, MPH, MS, FACMI
Audience:
public
Deadline:
2/9/2023
Learning Health Systems thrive with use of real-world data from electronic health record (EHR) systems in both observational and interventional research to generate real-world evidence. Computable phenotypes are specified definitions that can be used to identify patients with particular clinical conditions through computerized queries to EHR systems or data repositories using defined data elements, codes, and logical expressions. Computable phenotypes can facilitate research and learning by supporting the identification of patient populations, the delivery of clinical interventions, and the assessment of outcomes. The sharing and re-use of computable phenotypes can enhance the efficiency of pragmatic research and the dissemination of evidence-based interventions into real-world settings. This talk will discuss current platforms for identifying existing computational phenotypes as well as challenges and strategies for their implementation and validation in learning health systems.