Evidence map›Paper›PMID 29186508›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance.

A Jay Holmgren, Julia Adler-Milstein, Jeffrey McCullough

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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
  4. Article
  5. A problem of Epic proportion.PLOS digital health · 2026
    Article
  6. Article
  7. Interoperability of health-related social needs data at US hospitals.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  8. Article
  9. Experiences with information blocking in the United States: a national survey of hospitals.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Assessing hospital electronic health record vendor performance across publicly reported quality measures.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  18. Article
  19. Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  20. Practice and market factors associated with provider volume of health information exchange.Journal of the American Medical Informatics Association : JAMIA · 2021
    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

3 authors.

A Jay HolmgrenHarvard Business School, Harvard University, Boston, MA 02163, USA.
Julia Adler-MilsteinSchool of Medicine, University of California, San Francisco, CA, USA.
Jeffrey McCulloughSchool of Public Health, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The federal electronic health record (EHR) certification process was intended to ensure a baseline level of system quality and the ability to support meaningful use criteria. We sought to assess whether there was variation across EHR vendors in the degree to which hospitals using products from those vendors were able to achieve high levels of performance on meaningful use criteria. Materials and Methods: We created a cross-sectional national hospital sample from the Office of the National Coordinator for Health Information Technology EHR Products Used for Meaningful Use Attestation public use file and the Centers for Medicare & Medicaid Services Medicare EHR Incentive Program Eligible Hospitals public use file. We used regression models to assess the relationship between vendor and hospital performance on 6 Stage 2 Meaningful Use criteria, controlling for hospital characteristics. We also calculated how much variation in performance is explained by vendor choice. Results: We found significant associations between specific vendor and level of hospital performance for all 6 meaningful use criteria. Epic was associated with significantly higher performance on 5 of the 6 criteria; relationships for other vendors were mixed, with some associated with significantly worse performance on multiple criteria. EHR vendor choice accounted for between 7% and 34% of performance variation across the 6 criteria. Discussion: A nontrivial proportion of variation in hospital meaningful use performance is explained by vendor choice, and certain vendors are more often associated with better meaningful use performance than others. Our results suggest that policy-makers should improve the certification process by including more "real-world" scenario testing and provider feedback or ratings to reduce this variation. Hospitals can use these results to guide interactions with vendors. Conclusion: Vendor choice accounts for a meaningful proportion of variation in hospital meaningful use performance, and specific vendors are consistently associated with higher or lower performance across criteria.

Indexed as

Meaningful UseAmerican Recovery and Reinvestment ActCertificationCross-Sectional StudiesElectronic Health RecordsMedical Records Systems, ComputerizedRegression AnalysisUnited States

Identifiers

PMID29186508
PMCPMC7646986

What OpenQuestion holds

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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.