Evidence map›Paper›PMID 36231824›Full record

ArticleInternational journal of environmental research and public health2022

The Impact of Meaningful Use and Electronic Health Records on Hospital Patient Safety.

Kate E Trout, Li-Wu Chen, Fernando A Wilson, Hyo Jung Tak, David Palm

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Exploring ChatGPT 3.5 for structured data extraction from oncological notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  4. Article
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

5 authors.

Kate E TroutDepartment of Health Sciences, School of Health Professions, University of Missouri, 329 Clark Hall, Columbia, MO 65211, USA.ORCID 0000-0002-6633-7349
Li-Wu ChenDepartment of Health Sciences, School of Health Professions, University of Missouri, 329 Clark Hall, Columbia, MO 65211, USA.
Fernando A WilsonMatheson Center for Health Care Studies, University of Utah, Salt Lake City, UT 84108, USA.
Hyo Jung TakDepartment of Health Services Research and Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.
David PalmDepartment of Health Services Research and Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0002-0009-9587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HITECH Act aimed to leverage Electronic Health Records (EHRs) to improve efficiency, quality, and patient safety. Patient safety and EHR use have been understudied, making it difficult to determine if EHRs improve patient safety. The objective of this study was to determine the impact of EHRs and attesting to Meaningful Use (MU) on Patient Safety Indicators (PSIs). A multivariate regression analysis was performed using a generalized linear model method to examine the impact of EHR use on PSIs. Fully implemented EHRs not attesting to MU had a positive impact on three PSIs, and hospitals that attested to MU had a positive impact on two. Attesting to MU or having a fully implemented EHR were not drivers of PSI-90 composite score, suggesting that hospitals may not see significant differences in patient safety with the use of EHR systems as hospitals move towards pay-for-performance models. Policy and practice may want to focus on defining metrics and PSIs that are highly preventable to avoid penalizing hospitals through reimbursement, and work toward adopting advanced analytics to better leverage EHR data. These findings will assist hospital leaders to find strategies to better leverage EHRs, rather than relying on achieving benchmarks of MU objectives.

Indexed as

Electronic Health RecordsMeaningful UseHospitalsHumansPatient SafetyReimbursement, IncentiveUnited Stateselectronic health recordshealth servicespatient safetypatient safety indicatorsreimbursement incentive

Identifiers

PMID36231824
PMCPMC9564815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.