Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN

Abstract

By computerizing paper-based clinical guidelines on diagnosing and treating illnesses, knowledge-driven Clinical Decision Support (CDS) can issue salient and timely recommendations in line with the latest evidence. To access up-to-date patient health data, such CDS require interoperability with Electronic Health Records (EHR). The GLEAN model supports knowledge-based CDS by (a) encoding the guideline decision logic using Task Network Models (TNM) based on an extensible Finite State Machine (FSM); and (b) associating clinical tasks with HL7 FHIR resources that offer interoperability with FHIR-compliant EHR. In this demo, we show an online visualization tool that explains GLEAN CIG as visual and interactive workflows. Clinicians can dynamically submit HL7 FHIR patient data using the tool to drive the traversal of the workflow.