Evidence map›Paper›PMID 37798574›Full record

ArticleJournal of general internal medicine2023

Software is Policy: Electronic Health Record Governance and the Implications of Clinical Standardization.

Julian Brunner, Shay Cannedy, Matthew McCoy, Alison B Hamilton, Jeremy Shelton

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. 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.

Julian BrunnerCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA. julian.brunner@va.gov.ORCID 0000-0002-0878-5178
Shay CannedyCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Matthew McCoyCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Alison B HamiltonCenter for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Jeremy SheltonGeorge E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT, USA.

Funding

VA SDR 20-197-1
6 · The paper itself

Abstract

backgroundElectronic health record (EHR) implementations, whether replacing paper or electronic systems, are major social and organizational transformations. Yet studies of EHR-to-EHR transitions have largely neglected to elucidate accompanying social and organizational changes. One such underexplored change is the standardization of clinical practice in the context of EHR transitions. The Department of Veterans Affairs (VA) has begun a decade-long process of replacing the approximately 130 separate versions of its homegrown EHR with a single commercial EHR system. This provides an opportunity to explore the standardization of clinical practice amidst an EHR transition.

objectiveTo identify, in the context of a large-scale EHR transition, (1) the scope and content of clinical standardization and (2) the anticipated implications of such standardization.

designQualitative study.

participantsTwenty-nine members of VA councils established for the EHR transition. APPROACH: We conducted semi-structured interviews, which were professionally transcribed, and analyzed first using rapid analysis methods, followed by coding and content analysis. KEY

resultsClinical standardization across facilities was a central goal of the EHR transition, encompassing computerized recommendations, order sets, professional roles/permissions, and clinical documentation. The anticipated implications of this standardization include (i) potential efficiency gains, with less duplicated effort across facilities; (ii) expanded bureaucracy; and (iii) increased uniformity, reducing both wanted and unwanted variation in care.

conclusionsEHR systems shape a wide range of clinical processes, particularly in a large organization like VA with a long history of EHR use. This makes standardization of EHR content a powerful mechanism for standardizing clinical practice itself, which can bring dramatic collateral consequences. Organizations undergoing EHR transitions need to recognize the important role that clinical standardization plays by treating EHR transitions as major organizational transformations in the governance of clinical practice.

Indexed as

Electronic Health RecordsPolicyHumansQualitative ResearchReference StandardsSoftwarecentralizationelectronic health record transitionimplementationqualitative researchstandardizationveterans

Identifiers

PMID37798574
PMCPMC10593671

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.