ArticleJMIR medical informatics2016
Adoption Factors of the Electronic Health Record: A Systematic Review.
Article in JMIR medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 9 of them syntheses that pooled 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.
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.
Who cites it
70 citing papers in PubMed, 9 syntheses or guidelines pooled it, 160 citations in OpenAlex.
- Electronic health record adaptation and innovation among healthcare professionals in hospitals: an integrative framework based on a systematic review.BMC health services research · 2026Pooled it
- Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.Journal of medical Internet research · 2025Pooled it
- The Impact of Digital Hospitals on Patient and Clinician Experience: Systematic Review and Qualitative Evidence Synthesis.Journal of medical Internet research · 2024Pooled it
- Which Electronic Health Record System Should We Use? A Systematic Review.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022Pooled it
- Successfully implementing a national electronic health record: a rapid umbrella review.International journal of medical informatics · 2020Pooled it
- The adoption of electronic medical record by physicians: A PRISMA-compliant systematic review.Medicine · 2020Pooled it
- Utilisation of Electronic Health Records for Public Health in Asia: A Review of Success Factors and Potential Challenges.BioMed research international · 2019Pooled it
- Pooled it
- Barriers to Electronic Health Record Adoption: a Systematic Literature Review.Journal of medical systems · 2016Pooled it
- Supporting medication adherence for adults with cystic fibrosis: a randomised feasibility study.BMC pulmonary medicine · 2019Trial
- Using Electronic Clinical Decision Support in Patient-Centered Medical Homes to Improve Management of Diabetes in Primary Care: The DECIDE Study.The Journal of ambulatory care managementTrial
- Impact of Digitalization on Performance of Dutch Hospitals: Longitudinal Quantitative Study.Journal of medical Internet research · 2026Observational
- Electronic health records in patient care: strengths, facilitators, challenges, and future directions-a scoping review.BMC health services research · 2026Article
- The Role of Computer Anxiety and Computer Experience in Digital Health Systems Adoption among Healthcare Workers in Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2026Article
- Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study.Journal of medical Internet research · 2025Observational
- Not Replaced, but Reinvented: AI Education Pathways to Prepare Future Physicians to Lead Healthcare Transformation.Perspectives on medical education · 2025Article
- End user experiences of an electronic health records platform in a tertiary hospital system in Kenya.PloS one · 2025Article
- Health professionals' readiness for and factors influencing electronic medical record systems implementation in Southern Oromia, Ethiopia, 2024: a cross-sectional study.Frontiers in digital health · 2025Article
- Clinical Data Flow in Botswana Clinics: Protocol for a Mixed-Methods Assessment.JMIR research protocols · 2024Article
- Telemedicine Use During the COVID-19 Pandemic by Office-based Physicians and Long-term Care Providers.National health statistics reports · 2024Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Health Information Technology for Economic and Clinical Health (HITECH) was a significant piece of legislation in America that served as a catalyst for the adoption of health information technology. Following implementation of the HITECH Act, Health Information Technology (HIT) experienced broad adoption of Electronic Health Records (EHR), despite skepticism exhibited by many providers for the transition to an electronic system. A thorough review of EHR adoption facilitator and barriers provides ongoing support for the continuation of EHR implementation across various health care structures, possibly leading to a reduction in associated economic expenditures.
objectiveThe purpose of this review is to compile a current and comprehensive list of facilitators and barriers to the adoption of the EHR in the United States.
methodsAuthors searched Cumulative Index of Nursing and Allied Health Literature (CINAHL) and MEDLINE, 01/01/2012-09/01/2015, core clinical/academic journals, MEDLINE full text, and evaluated only articles germane to our research objective. Team members selected a final list of articles through consensus meetings (n=31). Multiple research team members thoroughly read each article to confirm applicability and study conclusions, thereby increasing validity.
resultsGroup members identified common facilitators and barriers associated with the EHR adoption process. In total, 25 adoption facilitators were identified in the literature occurring 109 times; the majority of which were efficiency, hospital size, quality, access to data, perceived value, and ability to transfer information. A total of 23 barriers to adoption were identified in the literature, appearing 95 times; the majority of which were cost, time consuming, perception of uselessness, transition of data, facility location, and implementation issues.
conclusionsThe 25 facilitators and 23 barriers to the adoption of the EHR continue to reveal a preoccupation on cost, despite incentives in the HITECH Act. Limited financial backing and outdated technology were also common barriers frequently mentioned during data review. Future public policy should include incentives commensurate with those in the HITECH Act to maintain strong adoption rates.
Indexed as
Identifiers
What OpenQuestion holds
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.