Academic Journal
Digital Twin-Based Virtual Hospital Platform for IT Outage Disaster Response Training: Implementation and Evaluation Study.
| Τίτλος: | Digital Twin-Based Virtual Hospital Platform for IT Outage Disaster Response Training: Implementation and Evaluation Study. |
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| Συγγραφείς: | Bae S; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Seoul, Republic of Korea.; Department of Cardiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea., Kim YJ; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Seoul, Republic of Korea.; Division of Planning and Management, Office of Medical Information Technology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea., Lee MW; Division of Planning and Management, Office of Medical Information Technology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea., Kim SJ; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Seoul, Republic of Korea.; Department of Hematology & Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea., Park JY; Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin, Seoul, Republic of Korea.; Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea.; Institute of Behavioural Science in Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea. |
| Πηγή: | JMIR formative research [JMIR Form Res] 2026 Aug 21; Vol. 10, pp. e93135. Date of Electronic Publication: 2026 Aug 21. |
| Τύπος έκδοσης: | Case Reports; Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Toronto, ON, Canada : JMIR Publications, [2017]- |
| Ιατρικοί όροι (MeSH): | Hospital Information Systems*, Humans ; Republic of Korea ; Surveys and Questionnaires ; Digital Health |
| Περίληψη: | Background: Hospital IT outages severely disrupt clinical workflows and use of electronic medical records, threatening patient safety and operational continuity. Traditional disaster response training faces limitations, including high resource requirements, restricted repeatability, and inability to be conducted without interrupting 24/7 hospital operations. Digital twin technology enables realistic, repeatable simulation training in virtual environments, avoiding operational disruption. Objective: This study developed and implemented a digital twin-based virtual hospital platform for level 1 IT outage disaster response training and evaluated its feasibility through quantitative performance metrics and participant survey feedback. Methods: A digital twin-based virtual hospital platform modeling 317 clinical spaces and 6 building entrances of Yongin Severance Hospital, South Korea, was developed to simulate a hospital information system failure (code white level 1 IT outage) with 7 patient cases of varying complexity levels, covering complete outpatient workflows from registration to payment. A total of 60 multidisciplinary participants (physicians, nurses, laboratory technicians, pharmacists, and administrative staff) were recruited through purposive sampling from clinical departments and support services directly involved in outpatient IT outage response. Emergency prescription and patient information lookup systems were integrated into the training. Performance evaluation included scenario completion rates, prescription accuracy, completion times, and operational readiness scores. Training outcomes were compared with 2023 conventional training records from the same institution using descriptive metrics. Open-ended survey responses were analyzed using structured content summarization with text mining and word cloud techniques. A 7-item operational readiness checklist was assessed by a panel of 5 training facilitators to evaluate system functional completeness. Results: In July 2024, a total of 60 multidisciplinary participants completed the training exercise. All 7 patient scenarios achieved 100% completion rates, with perfect accuracy in medical billing concordance and prescription entry timeliness. Scenario completion times ranged from 25 to 47 minutes, with variations reflecting testing wait times and workflow complexity. The overall operational readiness score was 80% (with 70% for digital twin platform operational readiness and 90% for emergency prescription program operational readiness). Training reduced resource consumption by 70 minutes compared to the 2023 conventional training approach, decreasing full-time equivalent requirements from 0.072 to 0.038. Open-ended survey feedback yielded 5 content categories (target extensions, mock training ideas, drug and prescription system improvement, operations and evaluation systems, and process improvement), with "realism," "collaboration," and "prescription" as the most frequent keywords. Conclusions: This proof-of-concept study demonstrates that a simulation-oriented digital twin platform can support multi-department IT disaster response training with complete workflow execution. Identified technical gaps in user permissions and prescription classification provide a concrete development road map for institutional deployment. (©SungA Bae, Ye Ji Kim, Min Woo Lee, Soo Jeong Kim, Jin Young Park. Originally published in JMIR Formative Research (https://formative.jmir.org), 21.08.2026.) |
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| Contributed Indexing: | Keywords: IT outage; digital twin; disaster preparedness; health information systems; simulation training; survey feedback; virtual hospital simulation |
| Entry Date(s): | Date Created: 20260604 Date Completed: 20260821 Latest Revision: 20260907 |
| Update Code: | 20260907 |
| PubMed Central ID: | PMC13545525 |
| DOI: | 10.2196/93135 |
| PMID: | 42242699 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2561-326X |
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| DOI: | 10.2196/93135 |