Evidence map›Paper›PMID 39394125›Full record

ArticleBMC medical informatics and decision making2024

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

Inhae Jo, Woojin Kim, Younghee Lim, Eunjeong Kang, Jinung Kim, Hyekyung Chung, Jihae Kim, Eunhye Kang, Yoon Bin Jung

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Inhae JoCenter for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Woojin KimCenter for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Younghee LimCenter for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Eunjeong KangCenter for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Jinung KimCenter for Digital Health Strategy, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Hyekyung ChungCenter for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Jihae KimCenter for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Eunhye KangCenter for Information Services, Division of Digital Health, Yonsei University Health System, Seoul, Korea.
Yoon Bin JungDepartment of Surgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea. ybjung@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodThis 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.

resultsDuring 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.

conclusionEssential 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.

Indexed as

Hospital Information SystemsHumansTime FactorsElectronic medical recordsHospital information systemOrder communication system

Identifiers

PMID39394125
PMCPMC11468072

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.