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Use of Electronic Health Records in U.S. Hospitals
Open accessAbstract
BACKGROUND: Despite a consensus that the use of health information technology should lead to more efficient, safer, and higher-quality care, there are no reliable estimates of the prevalence of adoption of electronic health records in U.S. hospitals. METHODS: We surveyed all acute care hospitals that are members of the American Hospital Association for the presence of specific electronic-record functionalities. Using a definition of electronic health records based on expert consensus, we determined the proportion of hospitals that had such systems in their clinical areas. We also examined the relationship of adoption of electronic health records to specific hospital characteristics and factors that were reported to be barriers to or facilitators of adoption. RESULTS: On the basis of responses from 63.1% of hospitals surveyed, only 1.5% of U.S. hospitals have a comprehensive electronic-records system (i.e., present in all clinical units), and an additional 7.6% have a basic system (i.e., present in at least one clinical unit). Computerized provider-order entry for medications has been implemented in only 17% of hospitals. Larger hospitals, those located in urban areas, and teaching hospitals were more likely to have electronic-records systems. Respondents cited capital requirements and high maintenance costs as the primary barriers to implementation, although hospitals with electronic-records systems were less likely to cite these barriers than hospitals without such systems. CONCLUSIONS: The very low levels of adoption of electronic health records in U.S. hospitals suggest that policymakers face substantial obstacles to the achievement of health care performance goals that depend on health information technology. A policy strategy focused on financial support, interoperability, and training of technical support staff may be necessary to spur adoption of electronic-records systems in U.S. hospitals.
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Metadata
- Authors
- Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., Shields, A., Rosenbaum, S., & Blumenthal, D.
- Affiliations
- Brigham and Women's Hospital (US)
- Massachusetts General Hospital (US)
- George Washington University (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2009-04-16
- Volume
- 360
- Issue
- 16
- Pages
- 1628-1638
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2157814042
- Cited by
- 1,473
- References
- 20
- Citations by year
- 2026: 35 · 2025: 45 · 2024: 45 · 2023: 81 · 2022: 40 · 2021: 42 · 2020: 55 · 2019: 71 · 2018: 68 · 2017: 53 · 2016: 62 · 2015: 95 · 2014: 138 · 2013: 134 · 2012: 153
- FWCI
- 358.97
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Nursing › Research and Theory › Nursing Diagnosis and Documentation
- Keywords
- electronic health records, health information technology adoption, hospitals, computerized physician order entry, barriers to adoption, hospital characteristics, teaching hospitals, health policy, interoperability
- MeSH terms
- Diffusion of Innovation, Hospital Administration, Hospital Bed Capacity, Ownership, United States, Logistic Models, Medical Records Systems, Computerized, Health Care Surveys
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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