Evidence map›Paper›PMID 31162125›Full record

ArticleJournal of medical Internet research2019

Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era.

Tiago K Colicchio, James J Cimino, Guilherme Del Fiol

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05106647 (Reducing Work-related Screen Time in Health Care Workers During Leisure Time), which is not on this map. Cited by 85 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing 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.

NCT05106647 nacompletednot on this mapstarted 2021, after this paper: background citation

Reducing Work-related Screen Time in Health Care Workers During Leisure Time

TypeinterventionalSponsorUniversity of NebraskaRan2021 to 2023Enrolled520ConditionsStress, Burnout, CaregiverArmsReduce screen time
3 · Its place in the literature

Who cites it

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

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25 more citing papers are in PubMed but not listed here.

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.

Tiago K ColicchioInformatics Institute, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0003-3405-1538
James J CiminoInformatics Institute, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0003-4101-1622
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-9954-6799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The US health system has recently achieved widespread adoption of electronic health record (EHR) systems, primarily driven by financial incentives provided by the Meaningful Use (MU) program. Although successful in promoting EHR adoption and use, the program, and other contributing factors, also produced important unintended consequences (UCs) with far-reaching implications for the US health system. Based on our own experiences from large health information technology (HIT) adoption projects and a collection of key studies in HIT evaluation, we discuss the most prominent UCs of MU: failed expectations, EHR market saturation, innovation vacuum, physician burnout, and data obfuscation. We identify challenges resulting from these UCs and provide recommendations for future research to empower the broader medical and informatics communities to realize the full potential of a now digitized health system. We believe that fixing these unanticipated effects will demand efforts from diverse players such as health care providers, administrators, HIT vendors, policy makers, informatics researchers, funding agencies, and outside developers; promotion of new business models; collaboration between academic medical centers and informatics research departments; and improved methods for evaluations of HIT.

Indexed as

Electronic Health RecordsHumansMeaningful UseMedical InformaticsUnited Statesadoptionmeaningful usemedical informatics applications

Identifiers

PMID31162125
PMCPMC6682280

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.