Diagnostic Reasoning in Internal Medicine. Cynefin Framework Makes Sense of Clinical Complexity

doi:10.3389/fmed.2021.641093

. 2021 Apr 22:8:641093.

doi: 10.3389/fmed.2021.641093. eCollection 2021.

Diagnostic Reasoning in Internal Medicine. Cynefin Framework Makes Sense of Clinical Complexity

Gino Roberto Corazza¹, Marco Vincenzo Lenti¹

Affiliations

PMID: 33968954
PMCID: PMC8100038
DOI: 10.3389/fmed.2021.641093

Diagnostic Reasoning in Internal Medicine. Cynefin Framework Makes Sense of Clinical Complexity

Gino Roberto Corazza et al. Front Med (Lausanne). 2021.

. 2021 Apr 22:8:641093.

doi: 10.3389/fmed.2021.641093. eCollection 2021.

Authors

Gino Roberto Corazza¹, Marco Vincenzo Lenti¹

Affiliation

¹ Department of Internal Medicine, San Matteo Hospital Foundation, University of Pavia, Pavia, Italy.

PMID: 33968954
PMCID: PMC8100038
DOI: 10.3389/fmed.2021.641093

No abstract available

Keywords: aging; clinical complexity; conceptual framework; decision-making; multimorbidity.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

**Figure 1**
Cynefin identifies four different domains of medical knowledge. Each of them consents different standards of clinical practice and generates circular fluxes of knowledge. Different domains require different diagnostic approaches. Adapted and modified from Snowden & Boone (10).

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References

1. Weinberger SE. Challenges for internal medicine as the American College of Physicians celebrates its 100th anniversary. Ann Intern Med. (2015) 162:585–6. 10.7326/M14-2905 - DOI - PubMed
1. Turner BJ, Cuttler L. The complexity of measuring clinical complexity. Ann Intern Med. (2011) 155:851–2. 10.7326/0003-4819-155-12-201112200-00009 - DOI - PubMed
1. Plsek PE, Greenhalgh T. Complexity science: the challenge of complexity in health care. BMJ. (2001) 323:625–8. 10.1136/bmj.323.7313.625 - DOI - PMC - PubMed
1. Corazza GR, Formagnana P, Lenti MV. Bringing complexity into clinical practice: an internistic approach. Eur J Intern Med. (2019) 61:9–14. 10.1016/j.ejim.2018.11.009 - DOI - PubMed
1. Hong CS, Atlas SJ, Ashburner JM, Chang Y, He W, Ferris TG, et al. . Evaluating a model to predict primary care physician-defined complexity in a large academic primary care practice-based research network. J Gen Intern Med. (2015) 30:1741–7. 10.1007/s11606-015-3357-8 - DOI - PMC - PubMed

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[1] Weinberger SE. Challenges for internal medicine as the American College of Physicians celebrates its 100th anniversary. Ann Intern Med. (2015) 162:585–6. 10.7326/M14-2905 - DOI - PubMed

[2] Weinberger SE. Challenges for internal medicine as the American College of Physicians celebrates its 100th anniversary. Ann Intern Med. (2015) 162:585–6. 10.7326/M14-2905 - DOI - PubMed

[3] Turner BJ, Cuttler L. The complexity of measuring clinical complexity. Ann Intern Med. (2011) 155:851–2. 10.7326/0003-4819-155-12-201112200-00009 - DOI - PubMed

[4] Turner BJ, Cuttler L. The complexity of measuring clinical complexity. Ann Intern Med. (2011) 155:851–2. 10.7326/0003-4819-155-12-201112200-00009 - DOI - PubMed

[5] Plsek PE, Greenhalgh T. Complexity science: the challenge of complexity in health care. BMJ. (2001) 323:625–8. 10.1136/bmj.323.7313.625 - DOI - PMC - PubMed

[6] Plsek PE, Greenhalgh T. Complexity science: the challenge of complexity in health care. BMJ. (2001) 323:625–8. 10.1136/bmj.323.7313.625 - DOI - PMC - PubMed

[7] Corazza GR, Formagnana P, Lenti MV. Bringing complexity into clinical practice: an internistic approach. Eur J Intern Med. (2019) 61:9–14. 10.1016/j.ejim.2018.11.009 - DOI - PubMed

[8] Corazza GR, Formagnana P, Lenti MV. Bringing complexity into clinical practice: an internistic approach. Eur J Intern Med. (2019) 61:9–14. 10.1016/j.ejim.2018.11.009 - DOI - PubMed

[9] Hong CS, Atlas SJ, Ashburner JM, Chang Y, He W, Ferris TG, et al. . Evaluating a model to predict primary care physician-defined complexity in a large academic primary care practice-based research network. J Gen Intern Med. (2015) 30:1741–7. 10.1007/s11606-015-3357-8 - DOI - PMC - PubMed

[10] Hong CS, Atlas SJ, Ashburner JM, Chang Y, He W, Ferris TG, et al. . Evaluating a model to predict primary care physician-defined complexity in a large academic primary care practice-based research network. J Gen Intern Med. (2015) 30:1741–7. 10.1007/s11606-015-3357-8 - DOI - PMC - PubMed

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Diagnostic Reasoning in Internal Medicine. Cynefin Framework Makes Sense of Clinical Complexity

Affiliation

Diagnostic Reasoning in Internal Medicine. Cynefin Framework Makes Sense of Clinical Complexity

Authors

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Conflict of interest statement

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