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'origine | English |
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Titre de la publication principale | Artificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings |
Éditeurs | Martin Michalowski, Syed Sibte Raza Abidi, Samina Abidi |
Maison d'édition | Springer Science and Business Media Deutschland GmbH |
Pages | 421-425 |
Nombre de pages | 5 |
ISBN (imprimé) | 9783031093418 |
DOI | |
Statut de publication | Published - 2022 |
Événement | 20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada Durée: juin 14 2022 → juin 17 2022 |
Séries de publication
Prénom | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13263 LNAI |
ISSN (imprimé) | 0302-9743 |
ISSN (électronique) | 1611-3349 |
Conference
Conference | 20th International Conference on Artificial Intelligence in Medicine, AIME 2022 |
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Pays/Territoire | Canada |
Ville | Halifax |
Période | 6/14/22 → 6/17/22 |
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