Evidence map›Paper›PMID 28130725›Full record

ArticleJournal of medical systems2017

Effect of the Implementation of a New Electronic Health Record System on Surgical Case Turnover Time.

Joseph McDowell, Albert Wu, Jesse M Ehrenfeld, Richard D Urman

Abstract read
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In one paragraph

Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Which Electronic Health Record System Should We Use? A Systematic Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Pooled it
  2. Pooled it
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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

4 authors.

Joseph McDowellDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Albert WuDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Jesse M EhrenfeldDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Richard D UrmanDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA. rurman@partners.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many health care providers, hospitals, and hospital systems have adopted new electronic health records (EHR) to streamline patient care and comply with government mandates. Commercial EHR vendors advertise improved efficiency, but few studies have been performed to validate these claims. Therefore, this study was performed to evaluate the effect of deploying a new EHR system on operating room efficiency and surgical case turnover time (TOT) at our institution. Data on TOT were collected after implementation of a new EHR (Epic) from June 2015 to May 2016, which replaced a legacy system of both paper and electronic records. These TOTs were compared to data from the same months in the preceding year. Mean TOT and standard deviations were calculated. The two-sample t-test was used to compare means by month and the F-test was used to compare standard deviations. There was a significant increase in TOT (63.0 vs. 53.0 min, p < 0.001) in the first month after implementation. This improved by the second month (59.0 vs. 53.0 min, p < 0.001), but the relative increase persisted until the end of the fifth month after which it remained around the pre-implementation baseline until the end of the study. The standard deviation significantly decreased after the fourth month post-implementation and persisted throughout the studied period. We found that implementation of an EHR led to a significant decrease in efficiency that persisted for five months. While EHRs have the potential to improve hospital workflow, caution is advised in the case of operating room implementation. While the mean TOT did not improve beyond the pre-implementation baseline, the standard deviation was significantly improved after the first four months.

Indexed as

Efficiency, OrganizationalAcademic Medical CentersElectronic Health RecordsHumansOperating RoomsTime FactorsWorkflowAnesthesiaEfficiencyElectronic health recordEpicImplementationOperating roomTurnover time

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.