Cited by 825Electronic Health Records SystemsInformation Systems Theories and ImplementationTechnology and Human Factors in Education and Health

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index; 7 of the 26 sources its claims cite were checked for support.

Types of Unintended Consequences Related to Computerized Provider Order Entry

Open access
Campbell, E. M., Sittig, D. F., Ash, J. S., Guappone, K. P., Dykstra, R. H.·2006·Journal of the American Medical Informatics Association

Abstract

OBJECTIVE: To identify types of clinical unintended adverse consequences resulting from computerized provider order entry (CPOE) implementation. DESIGN: An expert panel provided initial examples of adverse unintended consequences of CPOE. The authors, using qualitative methods, gathered and analyzed additional examples from five successful CPOE sites. METHODS: Using a card sort method, the authors developed a categorization scheme for the 79 unintended consequences initially identified and then iteratively modified the scheme to categorize 245 additional adverse consequences resulting from fieldwork. Because the focus centered on consequences requiring prevention or remedial action, the authors did not further analyze reported unintended beneficial (positive) consequences. RESULTS: Unintended adverse consequences (UACs) fell into nine major categories (in order of decreasing frequency): 1) more/new work for clinicians; 2) unfavorable workflow issues; 3) never ending system demands; 4) problems related to paper persistence; 5) untoward changes in communication patterns and practices; 6) negative emotions; 7) generation of new kinds of errors; 8) unexpected changes in the power structure; and 9) overdependence on the technology. Clinical decision support features introduced many of these unintended consequences. CONCLUSION: Identifying and understanding the types and in some instances the causes of unintended adverse consequences associated with CPOE will enable system developers and implementers to better manage implementation and maintenance of future CPOE projects.

Overview

Integrity signals

Registry

Crossref · 10.1197/jamia.m2042

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

7 of 26 cited sources checked · 4 supported · 0 flagged · accuracy not yet measured

Show all 64 claims

  • It may state two separate claims as one. 26
  • Probably not a substantial claim. 12
  • The quote only partly states this claim. 1
35 of 35
  • The paper relies on this without support.

    The five selected hospitals are representative of successful CPOE implementations, so the UACs observed there generalize to other successful CPOE sites.

    “The initial expert panel helped the authors to identify five hospitals in three different organizations where successful CPOE implementation occurred (See Table 1).To study a range of successful CPOE implementations, the project selected both academic and non-academic hospitals of differing sizes and geographic locations.”
  • The paper relies on this without support.

    The frequency of occurrence of UAC types in the data (Table 2) accurately reflects their relative frequency in CPOE implementations.

    “Table 2 lists the UACs and their frequencies of occurrence.”
  • The paper relies on this without support.

    The UACs observed are caused by CPOE rather than other organizational changes or site-specific factors.

    “To identify types of clinical unintended adverse consequences resulting from computerized provider order entry (CPOE) implementation.”
  • The paper relies on this without support.

    The perspectives of clinical end-users, IT staff, and administrators are sufficient to identify the major types of UACs.

    “Specifically, we gathered perspectives regarding CPOE from three groups: clinical end-users, IT staff, and administrators.”
  • The paper relies on this without support.

    Paper remains the most malleable, flexible, and easily transportable data medium available.

    “Furthermore, paper remains the most malleable, flexible, and easily transportable data medium available.”
  • The paper relies on this without support.

    CPOE workstation screens cannot display large amounts of clinical data simultaneously.

    “However, CPOE workstation screens cannot display large amounts of data simultaneously.”
  • The paper relies on this without support.

    Health care is increasingly dependent on technology and this is unlikely to change.

    “Health care is increasingly dependent on technology and this is unlikely to change.”
  • The paper relies on this without support.

    Emotional responses to change are inevitable.

    “Emotional responses to change are inevitable.”
  • The paper relies on this without support.

    Currently, CPOE technology is immature and rapidly evolving.

    “Currently, CPOE technology is immature and rapidly evolving.”
9 of 9

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Citations

Cites

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Show all 61 references

Research works printed but not linked: 9

  1. 2004, J HEALTHCARE INFORM MANAG, 18, 36
  2. 2004, Medinfo, 11, 1018
  3. 2002, J HEALTHCARE INFORM MANAG, 16, 16
  4. 2004, PHYSIC EXEC, 30, 28
  5. 2005, J HEALTHCARE INFORM MANAG, 19, 70
  6. 2001, Medinfo, 10, 1207
  7. Addison, 2005, Journal of AHIMA / American Health Information Management Association, 76, 64A
  8. 2004, HEALTHCARE INFORM, 21, 20
  9. Kremsdorf, 2005, Health management technology, 26, 66

Cited by

Sorted by citations

Items 201–300 of 825

Metadata

Authors
Campbell, E. M., Sittig, D. F., Ash, J. S., Guappone, K. P., & Dykstra, R. H.
Affiliations
Oregon Health & Science University (US)
Corresponding author
Campbell, E. M.
Venue
Journal of the American Medical Informatics Association
Published
2006-09-01
Volume
13
Issue
5
Pages
547-556
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2160382101
Cited by
823
References
61
Citations by year
2026: 9 · 2025: 18 · 2024: 24 · 2023: 29 · 2022: 29 · 2021: 27 · 2020: 27 · 2019: 59 · 2018: 32 · 2017: 44 · 2016: 48 · 2015: 48 · 2014: 52 · 2013: 80 · 2012: 46
FWCI
86.07
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Medical Informatics Association (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • U.S. Public Health Service (ASMM10031)
  • U.S. National Library of Medicine (R01LM006942, LM06942, R56LM006942)
Topics
  • 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
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords
computerized physician order entry, clinical workflow, clinical decision support, clinician workload, communication patterns, medical errors, health information technology implementation
MeSH terms
Communication, Humans, Organizational Innovation, Organizational Culture, Workload, Medical Errors, Medical Order Entry Systems

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