Toward Clinical Digital Twins: A ThreeDimensional Framework for Knowledge Extraction, Pathway Modeling, and Visualization Using MIMIC-IV Data...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy.
This paper explores three dimensions of digital twin development in healthcare: knowledge extraction, clinical pathway modeling, and conceptual visualization. Using the Medical Information Mart for Intensive Care IV (MIMICIV) database, the study investigates how unsupervised learning, event-log anal...
| Publicado en: | Studies in Health Technology & Informatics Vol. 336; pp. 1639 - 1644 |
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| Autores principales: | , , , |
| Formato: | proceedings research tables/charts 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=194019137&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 194019137 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: 194019137 194019137 194019137 10.3233/SHTI260503 194019137 ppf: 1639 ppct: 5 formats: tig: atl: Toward Clinical Digital Twins: A ThreeDimensional Framework for Knowledge Extraction, Pathway Modeling, and Visualization Using MIMIC-IV Data...36th Medical Informatics Europe (MIE) Conference, May 25-28, 2026, Genoa, Italy. aug: au: BABIC, Ankica RØISE, William Kraft SAHLGAARD, Carl Oskar SÆVAREID, Ida Wergeland affil: Department of Information Science and Media Studies, University of Bergen, Norway. sug: subj: Digital Technology Critical Path Knowledge Management Data Mining Models, Theoretical Congresses and Conferences Italy Italy Human Adult Data Analytics Intensive Care Units Arthroplasty Decision Support Systems, Clinical User-Computer Interface Cluster Analysis Machine Learning Patient Centered Care Adult: 19-44 years ab: This paper explores three dimensions of digital twin development in healthcare: knowledge extraction, clinical pathway modeling, and conceptual visualization. Using the Medical Information Mart for Intensive Care IV (MIMICIV) database, the study investigates how unsupervised learning, event-log analysis, and visualization design can be combined to support the instantiation of clinical digital twins. The proposed framework integrates patient similarity modeling, temporal pathway reconstruction, and user-oriented visualization into a coherent design science research artifact. Although the resulting implementation does not yet constitute a fully realized clinical digital twin, it illustrates how digital twins can be initialized from real-world clinical data, support early predictive modeling, and evolve through iterative refinement. The findings highlight the importance of data granularity, temporal structure, and interpretability, and demonstrate how such models may bridge analytical and clinical perspectives. Future work will extend the framework through richer data inclusion, clinical validation, and real-time deployment. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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