Academic Journal
Development of a Real-Time Operative System on RTOS Dashboard for Risk Management in Hospitals: A Case Study at Kalasin Hospital, Thailand.
| Τίτλος: | Development of a Real-Time Operative System on RTOS Dashboard for Risk Management in Hospitals: A Case Study at Kalasin Hospital, Thailand. |
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| Συγγραφείς: | Areeauey A; Doctor of Public Health, Kalasin Hospital, Kalasin Province, Thailand., Leethongdissakul S; Associtate Professor, Faculty of Public Health, Mahasarakham University, Thailand. |
| Πηγή: | Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 1700-1704. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991- |
| Ιατρικοί όροι (MeSH): | Risk Management*/methods , Risk Management*/organization & administration , Dashboard Systems*, Thailand ; Humans ; Computer Systems ; Patient Safety ; Hospitals |
| Περίληψη: | Risk management is an essential aspect to patient safety, nevertheless many hospitals burden with delayed reporting, limited data accessibility, and insufficient analytical tools. Kalasin Hospital reported 37.3% unresolved incidents and an average reporting delay of 4.52 hours for high-severity risks (G/H/I). This study employed an innovative dashboard technology as real-time operative system; RTOS to enhance efficiency and timeliness in risk management. Objectives: the research aimed to develop a dashboard technology system as RTOS for hospital risk management Methodology: Research and development (R&D) method was involved 50 purposively selected participants (Executives, Risk officers, Medical staff). Tools included interviews, focus groups, needs assessments, the developed dashboard (built on Google Data Studio with LINE Notify integration), and evaluation questionnaires. Data were analyzed using content analysis, descriptive statistics, and paired t-tests at p-value < 0.05. Results: This research founded the developed dashboard system (using Google Data Studio connected to the Ponglang NRLS database and the LINE Notify alert system), And post-implementation, mean reporting time for G/H/I risks decreased from 4.52 to 1.18 hours (73.33%), on-time reporting rose from 35.20% to 87.50%, and data access time dropped from 12.8 to 2.3 minutes (82.03%). User satisfaction increased from 2.85 to 4.32 (51.58%). Discussion: Applying the R&D with ADDIE model enabled the creation of a user centered RTOS dashboard that improved timeliness, data accessibility, and risk response. Recommendations: Expand dashboard use to other hospitals, standardize automated alerts, integrate AI for predictive analytics, and implement structured change management and training programs. |
| Contributed Indexing: | Keywords: ADDIE Model; Dashboard Technology; Hospital; Quality Development; Risk Management |
| Entry Date(s): | Date Created: 20260523 Date Completed: 20260717 Latest Revision: 20260717 |
| Update Code: | 20260717 |
| DOI: | 10.3233/SHTI260515 |
| PMID: | 42175186 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1879-8365 |
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| DOI: | 10.3233/SHTI260515 |