ArticleJournal of medical systems2014
The effect of electronic medical record application on the length of stay in a Chinese general hospital: a department- and disease-focused interrupted time-series study.
Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review.BMJ global health · 2020Pooled it
- Effects of medical consortium policy on health services: an interrupted time-series analysis in Sanming, China.Frontiers in public health · 2024Article
- Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay.Healthcare informatics research · 2022Article
- The role of medical data in efficient patient care delivery: a review.Risk management and healthcare policy · 2019Review
- Time series analysis of temporal trends in the pertussis incidence in Mainland China from 2005 to 2016.Scientific reports · 2016Article
- Review of information technology for surgical patient care.The Journal of surgical research · 2016Review
- An electronic medical record system with treatment recommendations based on patient similarity.Journal of medical systems · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A key purpose of electronic medical records (EMR) introduced in medical institutions is to improve work efficiency. The average length of stay (LOS) is just an important indicator to evaluate work efficiency of medical care in hospitals. Recently, there have been reports about effects of EMR application on LOS in medical institutions, but they have been mostly based on the overall analysis of a region or a hospital and not of specific clinical departments and diseases or based on longer time periods. Therefore, in this study, we selected four clinical departments and four diseases with the largest number of inpatients from January 2004 to December 2012 in a Chinese 3A general hospital and used an interrupted time-series method by the departments and diseases to analyze the relationship of EMR application and LOS. Through our analyses, we concluded that, under unadjusted condition, LOS were all reduced (P < 0.001) after EMR application in four departments and for four diseases. After adjustment by gender, age or admission condition, LOS still all decreased after EMR application (P < 0.05) regardless of departments or diseases. The trend changes in LOS reversed from increasing to decreasing in the orthopedics department (coefficient: 0.016 to -0.079), the cardiovascular surgery department (coefficient: 0.007 to -0.126) and all departments overall (coefficient: 0.004 to -0.070), as well as for the intervertebral disc disorders (coefficient: 0.026 to -0.068). Furthermore, the decreasing trend gained a larger slope in the cardiology department (coefficient: -0.017 to -0.023), the neurology department (coefficient: -0.012 to -0.043) and for the coronary heart disease (coefficient: -0.010 to -0.018), the ventricular septal defect (coefficient: -0.024 to -0.059), and the cerebral infarction (coefficient: -0.031 to -0.040). Together, these findings indicate that EMR application coincided with a decrease in LOS and may have a contribution to the decrease.
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