EBM and gut feelings

Stolper, C.F.; Wiel, Margaretha W. J. van de

doi:10.3109/0142159x.2013.835390

Medical Teacher

2013

DOI: 10.3109/0142159x.2013.835390

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EBM and gut feelings

C.F. Stolper

Margaretha W. J. van de Wiel

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Interprofessional clinical reasoning education

Eriksen,

Gögenur

2024

Diagnosis

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Clinical reasoning is considered one of the most important competencies but is not included in most healthcare curricula. The number and diversity of patient encounters are the decisive factors in the development of clinical reasoning competence. Physical real patient encounters are considered optimal, but virtual patient cases also promote clinical reasoning. A high-volume, low-fidelity virtual patient library thus can support clinical reasoning training in a safe environment and can be tailored to the needs of learners from different health care professions. It may also stimulate interprofessional understanding and team shared decisions. Implementation will be challenged by tradition, the lack of educator competence and prior experience as well as the high-density curricula at medical and veterinary schools and will need explicit address from curriculum managers and education leads.

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Interprofessional clinical reasoning education

Eriksen,

Gögenur

2024

Diagnosis

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The predictive brain model in diagnostic reasoning

Lim

2021

TAPS

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Introduction: Clinical diagnosis is a pivotal and highly valued skill in medical practice. Most current interventions for teaching and improving diagnostic reasoning are based on the dual process model of cognition. Recent studies which have applied the popular dual process model to improve diagnostic performance by “Cognitive De-biasing” in clinicians have yielded disappointing results. Thus, it may be appropriate to also consider alternative models of cognitive processing in the teaching and practice of clinical reasoning. Methods: This is critical-narrative review of the predictive brain model. Results: The theory of predictive brains is a general, unified and integrated model of cognitive processing based on recent advances in the neurosciences. The predictive brain is characterised as an adaptive, generative, energy-frugal, context-sensitive action-orientated, probabilistic, predictive engine. It responds only to predictive errors and learns by iterative predictive error management, processing and hierarchical neural coding. Conclusion: The default cognitive mode of predictive processing may account for the failure of de-biasing since it is not thermodynamically frugal and thus, may not be sustainable in routine practice. Exploiting predictive brains by employing language to optimise metacognition may be a way forward

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EBM and gut feelings

Cited by 2 publications

References 3 publications

Interprofessional clinical reasoning education

Interprofessional clinical reasoning education

The predictive brain model in diagnostic reasoning

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