Cited by 548Electronic Health Records SystemsMedical Coding and Health InformationNursing Diagnosis and Documentation

The DOI matches its Crossref record; 213 of the 223 references it cites were found in a registry or an index; none of the 72 sources its claims cite is checked for support yet.

Tensions and Paradoxes in Electronic Patient Record Research: A Systematic Literature Review Using the Meta‐narrative Method

Open access

Abstract

Context: The extensive research literature on electronic patient records (EPRs) presents challenges to systematic reviewers because it covers multiple research traditions with different underlying philosophical assumptions and methodological approaches. Methods: Using the meta‐narrative method and searching beyond the Medline‐indexed literature, this review used “conflicting” findings to address higher‐order questions about how researchers had differently conceptualized and studied the EPR and its implementation. Findings: Twenty‐four previous systematic reviews and ninety‐four further primary studies were considered. Key tensions in the literature centered on (1) the EPR (“container” or “itinerary”); (2) the EPR user (“information‐processer” or “member of socio‐technical network”); (3) organizational context (“the setting within which the EPR is implemented” or “the EPR‐in‐use”); (4) clinical work (“decision making” or “situated practice”); (5) the process of change (“the logic of determinism” or “the logic of opposition”); (6) implementation success (“objectively defined” or “socially negotiated”); and (7) complexity and scale (“the bigger the better” or “small is beautiful”). Conclusions: The findings suggest that EPR use will always require human input to recontextualize knowledge; that even though secondary work (audit, research, billing) may be made more efficient by the EPR, primary clinical work may be made less efficient; that paper may offer a unique degree of ecological flexibility; and that smaller EPR systems may sometimes be more efficient and effective than larger ones. We suggest an agenda for further research.

Overview

Integrity signals

Registry

Crossref · 10.1111/j.1468-0009.2009.00578.x

Cites

213 of 213 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

66 No basis given · 60 Not checked yet · 23 Own result · 15 Own interpretation · 2 Own method

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  • It may state two separate claims as one. 74
  • The quote only partly states this claim. 3
  • Probably not a substantial claim. 65
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Citations

Cites

Show all 223 references

Research works printed but not linked: 12

  1. Aderibigbe A. L.Brooks andK.McGrath.2007.Electronic Patient Records and Nurses’ Work: Rhetoric and Reality.Paper presented at fifth Critical Management Studies conference Manchester Business School July 11–13 2007 Manchester. Available athttp://www.mngt.waikato.ac.nz/ejrot/cmsconference/2007/proceedings/criticalthinking/mcgrath.pdf(accessed September 29 2009).
  2. Berg M., 2000, Proceedings of the IFIP Working Group 8.2 Conference, 487
  3. Davidson E. andJ.Reardon.2005.Organizing Visions for IT Healthcare: Analysis of Discourse Surrounding Electronic Health Records.Paper presented at Academy of Management Conference August 9 Honolulu .
  4. Department of Health, 2008, The NHS Informatics Review Report
  5. Desjardins G.A., 2006, La résistance des utilisateurs face aux TI: Un processus de “sensemaking
  6. Eason K., 2009, A Case Study of Local Socio‐technical Systems Design within the NPfIT Programme
  7. Garfinkel H., 1967, Studies in Ethnomethodology
  8. Institute of Medicine, 2009, Health and Human Sciences in the 21st Century: Charting a New Course for a Healthier America
  9. Jaeger J.F., 2005, Proceedings of Continuity of Care, HelsIT
  10. 10.2307/256817 · DOI
  11. Rodriguez C., 2006, APROS 11: Asia‐Pacific Researchers in Organisation Studies, Eleventh International Colloquium, 306
  12. Shekelle P.G., 2009, Costs and Benefits of Health Information Technology: An Updated Systematic Review

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Metadata

Authors
GREENHALGH, T., POTTS, H. W. W., WONG, G., BARK, P., & SWINGLEHURST, D.
Affiliations
University College London (GB)
Corresponding author
GREENHALGH, TRISHA
Venue
The Milbank Quarterly
Publisher
Wiley
Published
2009-12
Volume
87
Issue
4
Pages
729-788
ISSN
  • 0887-378X (ISSN-L)
  • 1468-0009
OpenAlex
W2134384563
Cited by
541
References
223
Citations by year
2026: 8 · 2025: 17 · 2024: 18 · 2023: 17 · 2022: 19 · 2021: 27 · 2020: 44 · 2019: 55 · 2018: 35 · 2017: 33 · 2016: 42 · 2015: 32 · 2014: 58 · 2013: 32 · 2012: 36
FWCI
5.14
Type
journal article
Language
en
Open access
Locations
  • Milbank Quarterly (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • National Institute for Health and Care Research (RDA/03/07/076, CFHEP 007, CFHEP 002)
  • Medical Research Council
  • Service Delivery and Organisation Programme
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, clinical decision-making, situated practice, sociotechnical networks, organizational context, implementation success, system size, paper records, research paradigms
MeSH terms
Diffusion of Innovation, England, Health Services Research, Hospital Information Systems, Humans, Risk Factors, MEDLINE, Medical Records Systems, Computerized, Access to Information

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.

A language model drew the claims from the paper on 2026-10-07, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

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Statistics and arithmetic are recomputed, not judged.

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