Evidence map›Paper›PMID 24760225›Full record

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.

Peng Yang, Yi Cao, Danhong Liu, Yuxiang Bai, Feng Pan, Yongyong Xu

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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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
  6. Review of information technology for surgical patient care.The Journal of surgical research · 2016
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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

6 authors.

Peng YangInstitute for Health Informatics, Fourth Military Medical University, Xi'an, China, panfeng@fmmu.edu.cn.
Yi Cao
Danhong Liu
Yuxiang Bai
Feng Pan
Yongyong Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Decision Making, Computer-AssistedChinaElectronic Health RecordsHospitals, GeneralHospitals, PublicHumansLength of StayMedical Records Systems, ComputerizedRetrospective Studies

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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.