Teaching clinical reasoning

What can I do?

Impact

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Quality

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  1. Give students clinical problems that require them to identify important information, generate possible explanations, compare alternatives, make a decision, and explain why they made it [1–4].
  2. Introduce clinical reasoning early, but increase the amount and complexity of reasoning practice as students’ professional knowledge and clinical experience develop [1].
  3. Give students repeated opportunities to practise and receive feedback on their reasoning—not just whether they reached the correct answer [1–5].

What is this about?

Clinical reasoning is the process practitioners use to gather and interpret information, identify and compare possible explanations, make clinical judgements or decisions, and determine appropriate actions.

Clinical reasoning is closely related to terms such as clinical judgement, clinical decision-making and diagnostic reasoning. These terms are sometimes used interchangeably in the research, although they do not describe exactly the same process.

Educators should not assume that clinical reasoning will develop simply because students acquire more theoretical knowledge or spend more time in professional practice. It can be deliberately supported by making the reasoning process an explicit part of learning.

Instead of only asking students “What is the diagnosis?” or “What would you do?”, ask them:

  • What information in this case is most important?
  • What possibilities are you considering?
  • What information supports or challenges each possibility?
  • What additional information would you seek?
  • Which explanation or action is most likely, and why?
  • What might make you change your mind?

The aim is to get students to practise the process of reasoning rather than simply produce the correct answer.

What does the evidence say?

Deliberately teaching clinical reasoning improves students’ reasoning performance ➕➕➕➕ [1–4]. Evidence from medicine and nursing shows that students benefit when they are given structured opportunities to interpret information, compare possible explanations, make decisions and explain their reasoning.

The evidence is more consistent when students have sufficient disciplinary and clinical knowledge to work with increasingly authentic problems [1]. This supports introducing clinical reasoning early, but progressively increasing the complexity, ambiguity and independence of reasoning activities as students develop expertise.

A range of approaches can support clinical reasoning, including workshops, cases, structured reflection, simulation and virtual patients [1–5]. There is no compelling evidence that one particular delivery method is consistently superior. The important feature appears to be that students actively practise the reasoning process and receive feedback on it, rather than simply being exposed to clinical content or given the correct answer.

What's the underlying theory?

Illness script theory helps explain how clinical reasoning develops [1,6].

As students learn about health conditions and professional problems, they build organised mental representations—or scripts—that connect relevant background information, causes, signs and symptoms, consequences and possible actions.

Early in their education these scripts tend to be relatively simple and based heavily on theoretical knowledge. Repeated encounters with clinical cases allow students to refine them. Students learn that real presentations vary, that some information is more diagnostically useful than other information, that similar presentations can have different causes, and that contextual factors can change the meaning of clinical information.

As knowledge and experience accumulate, these increasingly sophisticated mental representations allow students to recognise patterns, identify relevant information more efficiently and compare plausible explanations.

This helps explain why educators should not simply present students with the final answer. Asking students to work through, explain and compare possibilities gives them opportunities to organise and reorganise their knowledge around clinical problems. It also explains why the complexity of clinical-reasoning activities should develop progressively: beginners need structure and foundational knowledge, while more experienced students can work with increasingly variable, ambiguous and authentic cases.

Where does the evidence come from?

This summary is informed primarily by four systematic reviews with meta-analyses [1–4], with an additional meta-analysis examining different simulation approaches [5].

The broadest review included 50 studies of undergraduate medical students [1]. Most studies reported improvements following explicit clinical-reasoning instruction, but the pooled randomised evidence was highly heterogeneous and restricted to medicine ➕➕➕.

Two recent nursing meta-analyses reported moderate improvements in clinical reasoning [2,3]. The strongest of these included 11 studies in its clinical-reasoning analysis, had moderate heterogeneity and remained significant after adjustment for possible publication bias. We rate this review as high quality ➕➕➕➕.

A further simulation review reported a larger effect but had very high heterogeneity and was dominated by quasi-experimental studies, so we place less weight on its headline estimate [4].

Overall, the evidence provides reasonably strong confidence that clinical reasoning can be deliberately improved, but most quantitative evidence comes from medicine and nursing.

References

  1. Wark, S., Drovandi, A., McGee, R. G., Alele, F. O., Mwangi, F., Malau-Aduli, B., & ACHIEVE Network. (2025). How and when should clinical reasoning be taught in undergraduate medicine: A systematic review and meta-analyses. Perspectives on Medical Education, 14(1), 1021–1042. https://doi.org/10.5334/pme.1986
  2. Oliveira Silva, G., Aredes, N. D. A., Ues, L. V., Oliveira, F. S. E., Cavalcante, A. M. R. Z., & Campbell, S. H. (2026). Comparative effects of pedagogical strategies for teaching the nursing process: Systematic review and network meta-analysis. Nurse Education Today, 162, 107048. https://doi.org/10.1016/j.nedt.2026.107048
  3. Zhao, L., Yan, H., Liu, L., Zhou, R., Yang, Y., Li, K., Wan, F., & Li, Y. (2026). Effect of desktop virtual patient simulation on clinical reasoning skills of nursing students: A systematic review and meta-analysis. Nurse Education in Practice, 93, 104822. https://doi.org/10.1016/j.nepr.2026.104822
  4. Görücü, S., Türk, G., & Karaçam, Z. (2024). The effect of simulation-based learning on nursing students’ clinical decision-making skills: Systematic review and meta-analysis. Nurse Education Today, 140, 106270. https://doi.org/10.1016/j.nedt.2024.106270
  5. Jiang, N., Zhang, Y., Liang, S., Lyu, X., Chen, S., Huang, X., & Pan, H. (2024). Effectiveness of virtual simulations versus mannequins and real persons in medical and nursing education: Meta-analysis and trial sequential analysis of randomized controlled trials. Journal of Medical Internet Research, 26, e56195. https://doi.org/10.2196/56195
  6. Schmidt, H. G., & Rikers, R. M. J. P. (2007). How expertise develops in medicine: Knowledge encapsulation and illness script formation. Medical Education, 41(12), 1133–1139. https://doi.org/10.1111/j.1365-2923.2007.02915.x

Additional Resources