Cited by 27Clinical Reasoning and Diagnostic SkillsPatient Safety and Medication ErrorsElectronic Health Records Systems

Mind the Overlap: How System Problems Contribute to Cognitive Failure and Diagnostic Errors

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Gupta, Ashwin, Harrod, Molly, Quinn, Martha, Manojlovich, Milisa, Fowler, Karen E., Singh, Hardeep, Saint, Sanjay, Chopra, Vineet·2018·Diagnosis

Abstract

Background: Traditionally, research has examined systems- and cognitive-based sources of diagnostic error as individual entities. However, half of all errors have origins in both domains. Methods: We conducted a focused ethnography of inpatient physicians at two academic institutions to understand how systems-based problems contribute to cognitive errors in diagnosis. Medicine teams were observed on rounds and during post-round work after which interviews were conducted. Field notes related to the diagnostic process and the work system were recorded, and findings were organized into themes. Using deductive content analysis, themes were categorized based on a published taxonomy to link systems-based contributions and cognitive errors such as faulty data gathering, information processing, data verification and errors associated with multiple domains. Results: Observations, focus groups and interviews of 10 teams were conducted between January 2016 and April 2017. The following themes were identified: (1) challenges with interdisciplinary communication and communication within the electronic medical record (EMR) contributed to faulty data gathering; (2) organizational structures such as the operation of consulting services in silos promoted faulty information processing; (3) care handoffs led to faulty data verification and (4) interruptions, time constraints and a cluttered physical environment negatively influenced multiple cognitive domains. Conclusions: Systems-based factors often facilitate and promote cognitive problems in diagnosis. Linking systems-based contributions to downstream cognitive impacts and intervening on both in tandem may help prevent diagnostic errors.

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Crossref · 10.1515/dx-2018-0014

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  • Excessive clerical tasks interrupt clinicians' critical thinking about diagnostic evaluation and compress patient interaction.

    “The excessive clerical tasks not only interrupt clinicians’ critical thinking about diagnostic evaluation [115] but also compress patient interaction.”
  • Sharing the same room in a cluttered and noisy space can disrupt medical and nursing staff thinking and reasoning for diagnostic results.

    “Additionally, since medical and nursing staff often need to share the same room, the cluttered and noisy space can easily disrupt their thinking and reasoning for diagnostic results [115].”

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References 29 · Cited by 27

Research works printed but not linked: 23

  1. [1]Singh H and Graber ML, Improving Diagnosis in Health Care--The Next Imperative for Patient Safety. N Engl J Med, 2015. 373(26): p. 2493–5. [DOI] [PubMed] [Google Scholar]
  2. [2]Improving Diagnosis in Healthcare. National Academy Press. Available online at http://www.nap.edu/21794. Accessed September 18, 2017. [Google Scholar]
  3. [3]Elstein AS, Clinical reasoning in medicine. 1995, Woburn, Mass: Butterworth-Heinemann. [Google Scholar]
  4. [4]Graber ML, The incidence of diagnostic error in medicine. BMJ Qual Saf, 2013. 22 Suppl 2: p. ii21–ii27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. [7]Singh H, Petersen LA, and Thomas EJ, Understanding diagnostic errors in medicine: a lesson from aviation. Qual Saf Health Care, 2006. 15(3): p. 159–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. [8]Gandhi TK, Fumbled handoffs: one dropped ball after another. Ann Intern Med, 2005. 142(5): p. 352–8. [DOI] [PubMed] [Google Scholar]
  7. [9]Petersen LA, Brennan TA, O’Neil AC, Cook EF, and Lee TH, Does housestaff discontinuity of care increase the risk for preventable adverse events? Ann Intern Med, 1994. 121(11): p. 866–72. [DOI] [PubMed] [Google Scholar]
  8. [10]Ogdie AR, Reilly JB, Pang WG, Keddem S, Barg FK, Von Feldt JM, et al. , Seen through their eyes: residents’ reflections on the cognitive and contextual components of diagnostic errors in medicine. Acad Med, 2012. 87(10): p. 1361–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. [11]Reilly JB, Myers JS, Salvador D, and Trowbridge RL, Use of a novel, modified fishbone diagram to analyze diagnostic errors. Diagnosis (Berl), 2014. 1(2): p. 167–171. [DOI] [PubMed] [Google Scholar]
  10. [12]Graber ML, Kissam S, Payne VL, Meyer AN, Sorensen A, Lenfestey N, et al. , Cognitive interventions to reduce diagnostic error: a narrative review. BMJ Qual Saf, 2012. 21(7): p. 535–57. [DOI] [PubMed] [Google Scholar]
  11. [13]Singh H, Graber ML, Kissam SM, Sorensen AV, Lenfestey NF, Tant EM, et al. , System-related interventions to reduce diagnostic errors: a narrative review. BMJ Qual Saf, 2012. 21(2): p. 160–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. [14]Henriksen K and Brady J, The pursuit of better diagnostic performance: a human factors perspective. BMJ Qual Saf, 2013. 22 Suppl 2: p. ii1–ii5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. [15]Higginbottom GM, Pillay PJ and Y Broadu N, Guidance on Performing Focused Ethnographies with an Emphasis On Healthcare Research. The Qualitative Report, 2013(18): p. 1–6. [Google Scholar]
  14. [17]Chopra V Harrod M, Winter S, Forman J, Quinn M, Krein SL, et al. , Focused Ethnography of Diagnosis in Academic Medical Centers. J Hosp Med, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. [19]Bazeley P, and Jackson K (Eds.). (2013). Qualitative data analysis with NVivo. Sage Publications Limited. [Google Scholar]
  16. [20]Harrod M, Kowalski CP, Saint S, Forman J, and Krein SL, Variations in risk perceptions: a qualitative study of why unnecessary urinary catheter use continues to be problematic. BMC Health Serv Res, 2013. 13: p. 151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. [21]Sandelowski M, Theory unmasked: the uses and guises of theory in qualitative research. Res Nurs Health, 1993. 16(3): p. 213–8. [DOI] [PubMed] [Google Scholar]
  18. [24]Wheless SA, McKinney KA, and Zanation AM, A prospective study of the clinical impact of a multidisciplinary head and neck tumor board. Otolaryngol Head Neck Surg, 2010. 143(5): p. 650–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. [25]Petty JK and Vetto JT, Beyond doughnuts: tumor board recommendations influence patient care. J Cancer Educ, 2002. 17(2): p. 97–100. [DOI] [PubMed] [Google Scholar]
  20. [26]van Hagen P, et al. , Impact of a multidisciplinary tumour board meeting for upper GI malignancies on clinical decision making: a prospective cohort study. Int J Clin Oncol, 2013. 18(2): p. 214–9. [DOI] [PubMed] [Google Scholar]
  21. [27]Westbrook JI, et al. , Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study. BMJ Qual Saf, 2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. [28]Johansson F, The Medici Effect: Breakthrough Insights at the Intersection of Ideas, Concepts, and Cultures 2004, Boston: Harvard Business School Press. [Google Scholar]
  23. [29]Iedema R, Visualizing Health Care Practice Improvement: Innovation from within. 2013, London, UK: Radcliffe Publishing LTD. [Google Scholar]

Authors
Gupta, A., Harrod, M., Quinn, M., Manojlovich, M., Fowler, K. E., Singh, H., Saint, S., & Chopra, V.
Affiliations
  • University of Michigan (US)
  • VA Ann Arbor Healthcare System (US)
  • Michael E. DeBakey VA Medical Center (US)
Corresponding author
Gupta, Ashwin
Venue
Diagnosis
Published
2018-07-14
Volume
5
Issue
3
Pages
151-156
ISSN
  • 2194-8011 (ISSN-L)
  • 2194-802X
OpenAlex
W2883999715
Cited by
27
References
29
Citations by year
2026: 2 · 2024: 3 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 7 · 2019: 4 · 2018: 2
FWCI
4.58
Type
journal article
Language
en
Open access
Locations
  • Diagnosis (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Griffith Research Online (submittedVersion)
Funders
Agency for Healthcare Research and Quality (P30HS024385)
Topics
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
diagnostic errors, cognitive failure, interdisciplinary communication, electronic health records, information processing, data verification, interruptions, time constraints, consulting services, diagnostic process
MeSH terms
Clinical Decision-Making, Anthropology, Cultural, Cognition, Data Collection, Diagnostic Errors, Hospital Communication Systems, Humans, Inpatients, Physicians, Focus Groups, Medical Errors, Observation

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