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Record W84643338

Physician accountability, patient safety and patient compensation.

2006· article· en· W84643338 on OpenAlexaffabout
John E. Gray

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsCanadian Medical Protective Association
Fundersnot available
KeywordsAccountabilityCompensation (psychology)BlamePatient safetyEconomic JusticeMedical emergencyBusinessMedicineHealth carePublic relationsPsychologySocial psychologyPolitical sciencePsychiatryLaw
DOInot available

Abstract

fetched live from OpenAlex

In Canada, the response to adverse medical events follows one or more of three main paths: patient safety, physician accountability and patient compensation. While their goals differ, each of these responses serves a valuable function. There are however competing imperatives inherent in each response, particularly in terms of information disclosure: Effective patient safety depends on the full and protected disclosure of all information relevant to an adverse event and requires a "no blame" environment. While natural justice demands that a physician be held accountable for his actions, the doctor should be accorded the right of due process and be judged against an established standard of care. This is necessarily a fault-finding activity. Patient compensation meets both accountability demands and the social justice imperatives of supporting a patient injured through physician negligence. The most effective approach is one that achieves balance between competing imperatives. With clear information disclosure rules, patient safety, physician accountability and patient compensation can operate synergistically.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.337
Teacher spread0.297 · 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 designObservational
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

Citations2
Published2006
Admission routes2
Has abstractyes

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