A multi-institution EHR-based registry for heart failure with preserved ejection fraction (HFpEF) required both diagnosis and test result data for definition, and proved feasible to construct using EHR data and standard terminologies. 37% of registry members were identified solely by clinical data received via an HIE. Sharing SNOMED CT and LOINC rule-based value sets for computable clinical phenotype definitions nationally via the Value Set Authority Center can help in developing specialized registries across disparate EHRs.
Describe the new knowledge and additional skills the participant will gain after attending your presentation.:
The session attendee will be able to: (a) design a registry patient inclusion rule using standard terminologies (SNOMED CT, LOINC); and (b) leverage clinical data received from other electronic health records (EHRs) via Continuity of Care Documents (CCDs) to enhance registry completeness. All SNOMED CT and LOINC definitions as well as the inclusion rule Boolean logic used in the HFpEF Registry will be shared with attendees.
Ambarish Pandey (Presenter)
University of Texas Southwestern Health System
James MacNamara, University of Texas Southwestern Health System
Satyam Sarma, University of Texas Southwestern Health System
Vaishnavi Kannan, University of Texas Southwestern Health System
Ferdinand Velasco, Texas Health Resources
John Willard, Texas Health Resources
Mujeeb Basit, University of Texas Southwestern Health System
Benjamin Levine, University of Texas Southwestern Health System
DuWayne Willett, University of Texas Southwestern Health System