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

William Van Woensel, Samina Abidi, Karthik Tennankore, George Worthen, Syed Sibte Raza Abidi

Résultat de recherche: Conference contribution

2 Citations (Scopus)

Résumé

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.

Langue d'origineEnglish
Titre de la publication principaleArtificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
ÉditeursMartin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Maison d'éditionSpringer Science and Business Media Deutschland GmbH
Pages421-425
Nombre de pages5
ISBN (imprimé)9783031093418
DOI
Statut de publicationPublished - 2022
Événement20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada
Durée: juin 14 2022juin 17 2022

Séries de publication

PrénomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13263 LNAI
ISSN (imprimé)0302-9743
ISSN (électronique)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Pays/TerritoireCanada
VilleHalifax
Période6/14/226/17/22

Note bibliographique

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Empreinte numérique

Plonger dans les sujets de recherche 'Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input Using GLEAN'. Ensemble, ils forment une empreinte numérique unique.

Citer