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Record W2064226732 · doi:10.3399/bjgp09x453639

The consultation and physical examination

2009· article· en· W2064226732 on OpenAlexaboutno aff
Alexandra L Connan

Bibliographic record

VenueBritish Journal of General Practice · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical examinationJudgementMedicineCohortObjective structured clinical examinationMedical educationPsychologySurgeryLawPathology

Abstract

fetched live from OpenAlex

Since Michael Balint in the 1950s much reflection and comment has occurred on the concept of the consultation.1 Now cohort after cohort of medical students benefit from ever greater exposure to communication ideas leaving their more qualified colleagues running to catch up. Little, though, has been said about the physical examination. This is remarkable. The physical examination forms part of our earliest clinical experience but has had little focus in my professional development since then. I believe that the evolution in our communication skills has more to contribute to the physical examination of our patients and the physical examination has more to contribute to the consultation than is commonly identified. Balint said ‘Our patients are trained from childhood to expect a more or less thorough physical examination.’1 Patients intermingle telling their story and the doctor's examination, and see these as two parts of a whole. I examine sometimes to meet patient expectation. Although there are patients who prepare for a physical examination (going home to wash) and I only identify this as I am closing the consultation, how many others will have left without this expectation being understood and met? But a physical examination does more than address patient expectation. The acknowledged significance of physical examination is in finding physical signs. There are decades of medical undergraduate education committed to this. Although the ‘thorough physical examination’ was a 20th century phenomenon, before that, ‘the physician's job was not hands on: what counted were book learning, experience, memory, judgement and a good bedside manner’.2 In the diagrammatic representation of the Cambridge Calgary model3 of the consultation, …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.976
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.106
GPT teacher head0.436
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2009
Admission routes1
Has abstractyes

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