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Record W1985476543 · doi:10.1197/j.aem.2007.04.011

Profiles in Patient Safety: A “Perfect Storm” in the Emergency Department

2007· review· en· W1985476543 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAcademic Emergency Medicine · 2007
Typereview
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineEmergency departmentMedical emergencyProcess (computing)CommissionPatient safetyIntensive care medicineNursingLaw

Abstract

fetched live from OpenAlex

Correct and rapid diagnosis is pivotal to the practice of emergency medicine, yet the chaotic and ill-structured emergency department environment is fertile ground for the commission of diagnostic error. Errors may result from specific error-producing conditions (EPCs) or, more frequently, from an interaction between such conditions. These EPCs are often expedient and serve to shorten the decision making process in a high-pressure environment. Recognizing that they will inevitably exist, it is important for clinicians to understand and manage their dangers. The authors present a case of delayed diagnosis resulting from the interaction of a number of EPCs that produced a "perfect" situation to produce a missed or delayed diagnosis. They offer practical suggestions whereby clinicians may decrease their chances of becoming victims of these influences.

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.

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)0.005
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.113
GPT teacher head0.455
Teacher spread0.342 · 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