Measuring the Coverage of the HL7® FHIR® Standard in Supporting Data Acquisition for 3 Public Health Registries

• DOI: 10.1007/s10916-023-02033-z
• Publication Date: 2024-02-08T08:03:15Z
• Authors: Manju Bikkanuri; Taiquitha T. Robins; Lori Wong; Emel Seker; Melody L. Greer; Tremaine B. Williams; Maryam Y. Garza
• Keywords: Health Information Exchange; Leverage (statistics); Data Exchange; Public Health Informatics

Abstract With the increasing need for timely submission of data to state and national public health registries, current manual approaches acquisition are insufficient. In clinical practice, federal regulations now mandating use messaging standards, i.e., Health Level Seven (HL7 ® ) Fast Healthcare Interoperability Resources (FHIR standard, facilitate electronic exchange (patient) data. both research we can also leverage FHIR ‒ infrastructure already in place supporting practice enable seamless between medical record registries. That said, order understand utility case, must first measure extent which standard resources map required registry elements. Thus, using a systematic mapping approach, evaluated level completeness support collection three registries (Trauma, Stroke, National Surgical Quality Improvement Program). On average, approximately 80% elements were available (71%, 77%, 92%, respectively; inter-annotator agreement rates: 82%, 78%, 72%, respectively). This tells us that there is potential significant automation EHR-to-Registry exchange, will reduce amount manual, error-prone processes ensure higher quality. Further, identification remaining 20% “not mapped” improve develop profiles better fit model.