Evidence map›Paper›PMID 41954853›Full record

ArticleMedicine, health care, and philosophy2026

Clarifying the muddle: towards a comprehensive taxonomy of cognitive biases in medicine.

M Cristina Amoretti, Elisabetta Lalumera

Abstract read
In one paragraph

Article in Medicine, health care, and philosophy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

M Cristina Amoretti *DAFIST, Philosophy Section, University of Genoa, Via Balbi 4, 16126, Genoa, Italy. cristina.amoretti@unige.it.ORCID http://orcid.org/0000-0003-2892-577X
Elisabetta Lalumera *Department for Life Quality Studies (QUVI), University of Bologna, Largo Augusto 237, 47921, Rimini, Italy.ORCID http://orcid.org/0000-0002-0345-0838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive biases are widely discussed in the medical literature as systematic deviations from rational judgment and as significant contributors to diagnostic error. However, the prevailing view of cognitive biases as inherently epistemically detrimental may be challenged by recent research highlighting their potential utility. In this paper, we argue that the impact of cognitive biases in medicine depends not only on their internal cognitive structure, but also on the ecological characteristics of the medical environments in which they operate. We develop a conceptual framework that distinguishes between three types of cognitive biases: (1) those that are epistemically reliable (and practically useful) in so-called "safe cognitive environments", where ecological informational structures reliably support the use of "fast and frugal" heuristics; (2) those that are practically useful in "pragmatically permeable contexts" such as emergency care or public health, where time pressure, uncertainty, or resource constraints justify decisions that are epistemically suboptimal but action-guiding; and (3) those that are neither epistemically nor pragmatically defensible, and thus constitute clear targets for mitigation. By offering this taxonomy, we aim to clarify when and why cognitive biases hinder or support medical reasoning and practical actions. Our analysis also emphasizes the need to reframe some traditional assumptions in medical epistemology and education. Rather than attempting to eliminate all cognitive biases, we advocate for a more nuanced, context-sensitive, and ecologically informed approach in medicine. We conclude by outlining the implications of this framework for improving diagnostic accuracy, professional training, and institutional practices in healthcare.

Indexed as

CognitionBiasDecision MakingDiagnostic ErrorsHeuristicsHumansJudgmentKnowledgePhilosophy, MedicalCognitive biasDiagnostic errorHeuristicsMedical decision-makingMedical reasoning

Identifiers

PMID41954853
PMCPMC13633963

What OpenQuestion holds

Textmetadata
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Registered trials

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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.