The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Technology Acceptance among Physicians: A New Take on TAM
Abstract
The proliferation of information technology has been a revolutionary force that has increased efficiency and effectiveness in many industries. However, health care organizations, particularly physician practices, are noticeably lagging in the adoption of such technologies. This article provides a systematic review of the literature on physician acceptance of information technology. An overview of the technology acceptance model (TAM) is discussed, and a modified version of this model is proposed. Finally, ideas for testing this new model in a physician setting are presented. By providing a better understanding of physician technology acceptance, this model will inform health care managers about barriers that make physicians hesitant to embrace new technologies designed to increase efficiency and improve quality in a health care setting.
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“Those in health care who advocate the use of TAM commonly point out how different physicians and other health care providers are from the users of IT in other studies of TAM, and how the general health care context differs from that of the industries where TAM originated [30, 32, 58, 61, 96, 98, 100].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [30]
In the citing paper
“however, most studies conclude that no clear relationships between these characteristics and attitudes could be established [46, 56, 57].”
From Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update) (2016) · cites this paper as [57]
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Metadata
- Authors
- Yarbrough, A. K., & Smith, T. B.
- Affiliations
- University of Florida (US)
- University of Alabama at Birmingham (US)
- Corresponding author
- Yarbrough, Amy K.
- ORCID
- Smith, Todd B.
- Venue
- Medical Care Research and Review
- Publisher
- SAGE Publications
- Published
- 2007-12
- Volume
- 64
- Issue
- 6
- Pages
- 650-672
- ISSN
- 1077-5587 (ISSN-L)
- 1552-6801
- OpenAlex
- W2047540630
- Semantic Scholar
- a1690fa95a5606c43985889bdb0affe3764e5416
- Cited by
- 482
- References
- 60
- Citations by year
- 2026: 13 · 2025: 21 · 2024: 25 · 2023: 21 · 2022: 21 · 2021: 32 · 2020: 35 · 2019: 34 · 2018: 36 · 2017: 22 · 2016: 23 · 2015: 37 · 2014: 31 · 2013: 36 · 2012: 30
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Care Research and Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Systems Theories and Implementation
- Keywords
- technology acceptance, physicians, information technology adoption, technology acceptance model, physician practice, health information technology, technology adoption barriers, health care efficiency, quality of care
- MeSH terms
- Attitude to Computers, Diffusion of Innovation, Humans, Models, Theoretical, Physicians
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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