Evidence map›Paper›PMID 38835308›Full record

ReviewKorean journal of medical education2024

Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Steven J Durning, Eulho Jung, Do-Hwan Kim, Young-Mee Lee

Abstract readReview
In one paragraph

Review in Korean journal of medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Medical reasoning in LLMs: an in-depth analysis of DeepSeek R1.Frontiers in artificial intelligence · 2025
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Steven J DurningCenter for Health Professions Education, Uniformed Services University of the Health Sciences, MD, USA.
Eulho JungCenter for Health Professions Education, Uniformed Services University of the Health Sciences, MD, USA.
Do-Hwan KimDepartment of Medical Education, Hanyang University College of Medicine, Seoul, Korea.
Young-Mee LeeDepartment of Medical Education, Korea University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite this, clinical reasoning has a variety of definitions and medical error, which is often attributed to clinical reasoning, has been reported to be a leading cause of death in the United States and abroad. Further, instructors struggle with teaching this essential ability which often does not play a significant role in the curriculum. In this article, we begin with defining clinical reasoning and then discuss four principles from the literature as well as a variety of techniques for teaching these principles to help ground an instructors' understanding in clinical reasoning. We also tackle contemporary challenges in teaching clinical reasoning such as the integration of artificial intelligence and strategies to help with transitions in instruction (e.g., from the classroom to the clinic or from medical school to residency/registrar training) and suggest next steps for research and innovation in clinical reasoning.

Indexed as

Artificial IntelligenceClinical ReasoningCurriculumTeachingClinical CompetenceEducation, MedicalHumansMedical ErrorsClinical decision-makingClinical reasoningMedical educationTeaching method

Identifiers

PMID38835308
PMCPMC11150937

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.