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Clinical decision-making

Understanding decision-making to improve diagnostic accuracy

Close up image of a female physician intently studying MRI scans, which are visible through the reflection of her glasses.
Published: March 2021 /
Revised: January 2026
12 minutes

Introduction

Arriving at a diagnosis and clinical decision-making are complex processes involving multiple steps. It is generally accepted that clinical reasoning involves two stages:

  1. An early stage that involves generating one or more diagnostic hypotheses.
  2. A subsequent verification stage where the hypotheses are tested and the final diagnosis is confirmed. 1

The dual process theory of cognition suggests that two systems of thinking are at play: intuitive, fast and almost unconscious thinking (often referred to as “system 1 thinking”), and slower, analytical and effortful thinking (“system 2 thinking”). Both system 1 and system 2 thinking are involved in each of stage of clinical reasoning. 2 The complex interplay of automaticity, unconscious behavioural drift, cognitive biases, and experience influences sound clinical reasoning.

Good practice guidance

Checklist: Clinical decision-making

Optimize your diagnostic reasoning to enhance patient care


References

  1. Monteiro S, Norman G, Sherbino J. The 3 faces of clinical reasoning: Epistemological explorations of disparate error reduction strategies. J Eval Clin Pract. 2018;24:666–673
  2. Croskerry P. Adaptive expertise in medical decision making. Medical Teacher. 2018;40:8, 803-808. DOI: 10.1080/0142159X.2018.1484898
  3. Norman GR, Monteiro SD, Sherbino J, et al. The Causes of Errors in Clinical Reasoning: Cognitive Biases, Knowledge Deficits, and Dual Process Thinking. Academic Medicine. 2017;92(1):23-30. doi: 10.1097/ACM.0000000000001421
  4. Sibbald M, de Bruin AB, Van Merrienboer JJ. Checklists improve experts' diagnostic decisions. Medical Education. 2013 Mar;47(3):301-8. DOI: https://onlinelibrary.wiley.com/doi/abs/10.1111/medu.12080
  5. Moulton CA, Regehr G, Mylopoulos M, et al. Slowing down when you should: a new model of expert judgement. Acad Med. 2017;82 (10):109–16. DOI: 10.1097/ACM.0b013e3181405a76
  6. O’Sullivan ED. Schofield S. Cognitive Bias in Clinical Medicine. Journal of the Royal College of Physicians of Edinburgh, 2018;48(3):225-231. Available at: https://doi.org/10.4997/JRCPE.2018.306
  7. Choosing Wisely Canada. The Canadian Medical Association is a lead partner in the campaign, which includes more than 50 Canadian medical professional societies. The initiative mirrors the U.S. campaign Choosing Wisely. Available at http://www.choosingwiselycanada.org/
  8. Macrae C. Governing the safety of artificial intelligence in healthcare. BMJ Qual Saf. 2019;28(6):495–498. DOI: 10.1136/bmjqs-2019-009484
  9. Challen R, Denny J, Pitt M, et al. Artificial intelligence, bias and clinical safety. BMJ Qual Saf. 2019 Mar;28(3):231-237. DOI: 10.1136/bmjqs-2018-008370. Available at: https://pubmed.ncbi.nlm.nih.gov/30636200/ 
  10. Taylor RA, Sangal RB, Smith ME, et al. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: Challenges, opportunities, and future directions. Acad Emerg Med. 2025 Mar;32(3):327-339.
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