Electronic Health Record Downtime Events of a Hospital: A Retrospective Analysis from Adverse Event Reports

The widespread adoption of health information technology (HIT) has deepened hospitals' reliance on electronic health records (EHR). However, EHR downtime events, which refer to partial or complete system failures, can disrupt hospital operations and threaten patient safety. Systematic research on HIT downtime events in China remains limited.This study aims to identify and classify reported EHR downtime events in a Chinese hospital, assess their frequency and severity, and propose improvement recommendations and response strategies.We identified and coded downtime events based on a Chinese hospital's adverse event reports between January 2018 and August 2022, extracting features such as time, type, and affected scope. Both descriptive and inferential statistics were used for analysis.A total of 204 EHR downtime events were identified, with 96.1% (<i>n</i> = 196) unplanned. The most frequent categories were medication-related events (<i>n</i> = 52, 25.5%), imaging-related events (<i>n</i> = 35, 17.2%), and accounting and billing-related events (<i>n</i> = 17, 8.3%). For severity, 76.0% (<i>n</i> = 155) of events were reported as patient care disruptions, while 76.5% (<i>n</i> = 156) occurred within certain departments. In terms of time, the daily downtime incidence was 0.142 (95% CI: 0.122-0.164) on weekdays versus 0.064 (95% CI: 0.044-0.090) on weekends, with an incidence rate ratio (IRR) of 2.22 (95% CI: 1.52-3.25). The downtime incidence during the morning period was 0.0130 per hour (95% CI: 0.0107-0.0156), which was higher than other time periods, with IRRs ranging from 1.42 (95% CI: 1.06-1.90) to 22.2 (95% CI: 12.66-38.92).In this study, analysis of EHR downtime events in a Chinese hospital identified three key issues: high-risk downtime in medication processes, peak occurrence periods on weekdays and during morning hours, and significant clinical care disruptions. Recommended measures include implementing tiered contingency protocols, enhancing technical resilience, and establishing standardized reporting mechanisms.

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Publication Details

Journal
Applied Clinical Informatics
Published
2025-10-01
DOI
https://doi.org/10.1055/a-2701-5819
Primary Topic
Electronic Health Records Systems
Type
article
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article

Electronic Health Record Downtime Events of a Hospital: A Retrospective Analysis from Adverse Event Reports

Jianbo Lei, Jun Liang, Zijiao Zhang, Yunfan He et al.
Applied Clinical Informatics
Electronic Health Records Systems
article

Electronic Health Record Downtime Events of a Hospital: A Retrospective Analysis from Adverse Event Reports

Jianbo Lei, Jun Liang, Zijiao Zhang, Yunfan He, Hu Yue, Min Zhao, Xiang Peng, Haofeng Wan, Qichuan Fang, Tong Wang
article en

Abstract

The widespread adoption of health information technology (HIT) has deepened hospitals' reliance on electronic health records (EHR). However, EHR downtime events, which refer to partial or complete system failures, can disrupt hospital operations and threaten patient safety. Systematic research on HIT downtime events in China remains limited.This study aims to identify and classify reported EHR downtime events in a Chinese hospital, assess their frequency and severity, and propose improvement recommendations and response strategies.We identified and coded downtime events based on a Chinese hospital's adverse event reports between January 2018 and August 2022, extracting features such as time, type, and affected scope. Both descriptive and inferential statistics were used for analysis.A total of 204 EHR downtime events were identified, with 96.1% (<i>n</i> = 196) unplanned. The most frequent categories were medication-related events (<i>n</i> = 52, 25.5%), imaging-related events (<i>n</i> = 35, 17.2%), and accounting and billing-related events (<i>n</i> = 17, 8.3%). For severity, 76.0% (<i>n</i> = 155) of events were reported as patient care disruptions, while 76.5% (<i>n</i> = 156) occurred within certain departments. In terms of time, the daily downtime incidence was 0.142 (95% CI: 0.122-0.164) on weekdays versus 0.064 (95% CI: 0.044-0.090) on weekends, with an incidence rate ratio (IRR) of 2.22 (95% CI: 1.52-3.25). The downtime incidence during the morning period was 0.0130 per hour (95% CI: 0.0107-0.0156), which was higher than other time periods, with IRRs ranging from 1.42 (95% CI: 1.06-1.90) to 22.2 (95% CI: 12.66-38.92).In this study, analysis of EHR downtime events in a Chinese hospital identified three key issues: high-risk downtime in medication processes, peak occurrence periods on weekdays and during morning hours, and significant clinical care disruptions. Recommended measures include implementing tiered contingency protocols, enhancing technical resilience, and establishing standardized reporting mechanisms.

Applied Clinical InformaticsVol. 16(05)
Qingdao University (CN), Zhejiang Chinese Medical University (CN), Shandong University (CN), Beijing Technology and Business University (CN), Peking University (CN), Fudan University (CN), Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN), First Affiliated Hospital of Xiamen University (CN), Qingdao Municipal Hospital (CN), Zhejiang Lab (CN), Peking University People's Hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Shandong First Medical University (CN), Zhejiang University (CN), Hainan Medical University (CN)
Openalex Percentile: Top 66%
Electronic Health Records Systems
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