Strategy for scheduled downtime of hospital information system utilizing third-party applications.

Electronic medical records Hospital information system Order communication system

Journal

BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682

Informations de publication

Date de publication:
11 Oct 2024
Historique:
received: 05 11 2023
accepted: 03 10 2024
medline: 12 10 2024
pubmed: 12 10 2024
entrez: 11 10 2024
Statut: epublish

Résumé

The widespread adoption of Hospital Information Systems (HIS) has brought significant benefits in healthcare quality and workflow efficiency. However, downtimes for system maintenance are inevitable and pose a considerable challenge to continuous patient care. Existing strategies, including manual prescription methods, are no longer effective due to increasing reliance on digital systems. This study implemented two main strategies to mitigate the impact of scheduled downtimes. First, we created an "Emergency query program" that switches to a read-only backup server during downtimes, allowing clinicians to view essential patient data. Second, an "Emergency prescription system" was developed based on the Microsoft Power Platform and integrated into Microsoft Teams. This allows clinicians to perform digital prescriptions even during downtimes. During a planned 90-minute downtime, 282 users accessed the Emergency Prescription System, resulting in 22 prescriptions from various departments. Average times for prescription confirmation and completion were 8 min and 3 s, and 18 min and 40 s, respectively. A post-downtime evaluation revealed high user satisfaction. Essential maintenance-induced HIS downtimes are inherently disruptive to patient care process. Our deployment of an emergency query program and a Microsoft Teams-integrated emergency prescription system demonstrated robust care continuity during HIS downtime.

Sections du résumé

BACKGROUND BACKGROUND
The widespread adoption of Hospital Information Systems (HIS) has brought significant benefits in healthcare quality and workflow efficiency. However, downtimes for system maintenance are inevitable and pose a considerable challenge to continuous patient care. Existing strategies, including manual prescription methods, are no longer effective due to increasing reliance on digital systems.
METHOD METHODS
This study implemented two main strategies to mitigate the impact of scheduled downtimes. First, we created an "Emergency query program" that switches to a read-only backup server during downtimes, allowing clinicians to view essential patient data. Second, an "Emergency prescription system" was developed based on the Microsoft Power Platform and integrated into Microsoft Teams. This allows clinicians to perform digital prescriptions even during downtimes.
RESULTS RESULTS
During a planned 90-minute downtime, 282 users accessed the Emergency Prescription System, resulting in 22 prescriptions from various departments. Average times for prescription confirmation and completion were 8 min and 3 s, and 18 min and 40 s, respectively. A post-downtime evaluation revealed high user satisfaction.
CONCLUSION CONCLUSIONS
Essential maintenance-induced HIS downtimes are inherently disruptive to patient care process. Our deployment of an emergency query program and a Microsoft Teams-integrated emergency prescription system demonstrated robust care continuity during HIS downtime.

Identifiants

pubmed: 39394125
doi: 10.1186/s12911-024-02710-0
pii: 10.1186/s12911-024-02710-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

300

Informations de copyright

© 2024. The Author(s).

Références

Garg AX, Adhikari NK, McDonald H, Rosas-Arellano MP, Devereaux PJ, Beyene J, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223–38.
doi: 10.1001/jama.293.10.1223 pubmed: 15755945
Blumenthal D, Tavenner M. The meaningful use regulation for electronic health records. N Engl J Med. 2010;363(6):501–4.
doi: 10.1056/NEJMp1006114 pubmed: 20647183
Lee J, Kuo Y-F, Goodwin JS. The effect of electronic medical record adoption on outcomes in US hospitals. BMC Health Serv Res. 2013;13(1):39.
doi: 10.1186/1472-6963-13-39 pubmed: 23375071 pmcid: 3568047
Yu FB, Menachemi N, Berner ES, Allison JJ, Weissman NW, Houston TK. Full implementation of computerized physician order entry and medication-related quality outcomes: a study of 3364 hospitals. Am J Med Qual. 2009;24(4):278–86.
doi: 10.1177/1062860609333626 pubmed: 19502568 pmcid: 4427908
NCHS. National Electronic Health Records Survey. 2021.
Hayrinen K, Saranto K, Nykanen P. Definition, structure, content, use and impacts of electronic health records: a review of the research literature. Int J Med Inf. 2008;77(5):291–304.
doi: 10.1016/j.ijmedinf.2007.09.001
Bates DW, Cohen M, Leape LL, Overhage JM, Shabot MM, Sheridan T. Reducing the frequency of errors in medicine using information technology. J Am Med Inf Assoc. 2001;8(4):299–308.
doi: 10.1136/jamia.2001.0080299
Larsen E, Fong A, Wernz C, Ratwani RM. Implications of electronic health record downtime: an analysis of patient safety event reports. J Am Med Inf Assoc. 2018;25(2):187–91.
doi: 10.1093/jamia/ocx057
Lyon R, Jones A, Burke R, Baysari MT. What goes up, must come down: a state-of-the-art Electronic Health Record Downtime and Uptime Procedure in a Metropolitan Health setting. Appl Clin Inf. 2023;14(03):513–20.
doi: 10.1055/s-0043-1768995
Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Serv Res. 2010;10:231.
doi: 10.1186/1472-6963-10-231 pubmed: 20691097 pmcid: 2924334
Zhao JY, Kessler EG, Guo WA. Interprofessional Communication goes up when the Electronic Health Record goes down. J Surg Educ. 2019;76(2):512–8.
doi: 10.1016/j.jsurg.2018.08.024 pubmed: 30253982
Walsh J, Borycki E, Kushniruk A. Effects of Electronic Medical Record Downtime on Patient Safety, Downtime Mitigation, and Downtime Plans. Int J Extreme Autom Connectivity Healthc. 2020;2:161–86.
doi: 10.4018/IJEACH.2020010110
Rajaram A, Olory C, Leduc V, Evaristo G, Cote K, Isenberg J, et al. An integrated virtual pathology education platform developed using Microsoft Power Apps and Microsoft teams. J Pathol Inf. 2022;13:100117.
doi: 10.1016/j.jpi.2022.100117

Auteurs

Inhae Jo (I)

Center for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Woojin Kim (W)

Center for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Younghee Lim (Y)

Center for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Eunjeong Kang (E)

Center for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Jinung Kim (J)

Center for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Hyekyung Chung (H)

Center for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Jihae Kim (J)

Center for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Eunhye Kang (E)

Center for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.

Yoon Bin Jung (YB)

Department of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea. ybjung@yuhs.ac.
Institue for Innovation in Digital Healthcare, Yonsei University, Seoul, Korea. ybjung@yuhs.ac.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH