The DOI matches its Crossref record; 163 of the 164 references it cites were found in a registry or an index.
Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content
Open accessAbstract
Despite the great advances in the field of electronic health records (EHRs) over the past 25 years, implementation and adoption challenges persist, and the benefits realized remain below expectations. This scoping review aimed to present current knowledge about the effects of EHR implementation and the barriers to EHR adoption and use. A literature search was conducted in PubMed, Web of Science, IEEE Xplore Digital Library and ACM Digital Library for studies published between January 2005 and May 2020. In total, 7641 studies were identified of which 142 met the criteria and attained the consensus of all researchers on inclusion. Most studies (n = 91) were published between 2017 and 2019 and 81 studies had the United States as the country of origin. Both positive and negative effects of EHR implementation were identified, relating to clinical work, data and information, patient care and economic impact. Resource constraints, poor/insufficient training and technical/educational support for users, as well as poor literacy and skills in technology were the identified barriers to adoption and use that occurred frequently. Although this review did not conduct a quality analysis of the included papers, the lack of uniformity in the use of EHR definitions and detailed contextual information concerning the study settings could be observed.
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“This assists clinicians in making more informed decisions.[13]”
From Ethical implications of AI and robotics in healthcare: A review (2023) · cites this paper as [13]
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“AI systems provide healthcare professionals with real-time clinical decision support, offering evidence-based recommendations for treatment plans, drug interactions, and diagnostic accuracy.”
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“AI-driven algorithms can analyze vast datasets, including genomic information, to tailor treatment plans to individual patients.”
From Ethical implications of AI and robotics in healthcare: A review (2023) · cites this paper as [11]
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“This approach, known as precision medicine, allows for more accurate diagnosis and personalized treatment strategies.[11]”
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Metadata
- Authors
- Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S.
- Affiliations
- Karolinska Institutet (SE)
- Rhodes University (ZA)
- Corresponding author
- Koch, Sabine
- Venue
- Life
- Publisher
- MDPI AG
- Published
- 2020-12-04
- Volume
- 10
- Issue
- 12
- Pages
- 327
- ISSN
- 2075-1729 (ISSN-L)
- PMC
- PMC7761950
- OpenAlex
- W3109639294
- Cited by
- 305
- References
- 164
- Citations by year
- 2026: 63 · 2025: 95 · 2024: 68 · 2023: 48 · 2022: 18 · 2021: 13
- FWCI
- 3.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Life (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2016-07324)
- South African Medical Research Council (2016-07324)
- 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, EHR implementation, clinical work, patient care, economic impact, resource constraints, employee training, technical support, digital literacy, technological competence
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