Process Mining on FHIR AuditEvents: Conformance Checking with a Standard Operating Procedure for Chest Pain...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
Hospitals, due to their complex and dynamic nature, face significant challenges in aligning clinical workflows with established treatment protocols. In this study, we analyzed HL7 FHIR AuditEvent sequences from 10 randomly selected chest pain cases to model clinical process flows and assess adherenc...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 1358 - 1360 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=194019061&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194019061 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2026 vid: 336 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 194019061 194019061 194019061 10.3233/SHTI260425 194019061 ppf: 1358 ppct: 2 formats: tig: atl: Process Mining on FHIR AuditEvents: Conformance Checking with a Standard Operating Procedure for Chest Pain...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: TRAJKOVSKA, Natasha KASTENHOFER, Stefan SANDLER, Simone BAUERNFEIND, Sophie PRASCHL, Christoph KRAUSS, Oliver HECKTOR, Ralf HERZMANEK, Daniel ROISS, Michael HAIDER, Michael RECHENMACHER, Maximilian ROTH, Dominik affil: University of Applied Sciences Upper Austria. sug: subj: Data Mining Chest Pain Diagnosis Electronic Health Records Surgery, Operative Standards Information Technology Human Congresses and Conferences Italy Italy ab: Hospitals, due to their complex and dynamic nature, face significant challenges in aligning clinical workflows with established treatment protocols. In this study, we analyzed HL7 FHIR AuditEvent sequences from 10 randomly selected chest pain cases to model clinical process flows and assess adherence to a standard operating procedure (SOP) defined by Medical University of Vienna. Despite the limited dataset, our findings reveal several deviations from the defined SOP, illustrating the fragmented nature of real-world clinical workflows. This work demonstrates the potential of combining medical data standards with process analytics to turn clinical data into actionable insights for improving patient care. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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