MétaCan
Menu
Back to cohort
Record W2149324700

Laboratory tests, interpretation, and use of resources: a program to introduce the basics.

2014· article· en· W2149324700 on OpenAlexaffabout
Marcia Abbott, Heidi Paulin, Davinder Sidhu, Christopher Naugler

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCurriculumQuality assuranceRequisitionMedical educationTest (biology)Medical laboratoryMedicineFamily medicineComputer sciencePsychologyNursingPathologyExternal quality assessment
DOInot available

Abstract

fetched live from OpenAlex

PROBLEM ADDRESSED: The overuse of laboratory testing has increased rapidly and is contributing to the financial strain on the health care system in Canada. Moreover, a substantial proportion of ordered tests are unnecessary. In a search of all the Canadian family physician residency programs, none lists laboratory training as mandatory or as an optional elective in its curriculum. OBJECTIVE OF PROGRAM: To introduce family medicine residents to appropriate and efficient use of laboratory tests. PROGRAM DESCRIPTION: The program was run as a series of identical 4-hour small group sessions to facilitate discussion and laboratory tours. The curriculum focused on 7 key topics: problems associated with laboratory testing, sources of laboratory errors, definitions of normal and abnormal test results, appropriate use of laboratory requisition forms, laboratory quality assurance methods, laboratory collection processes, and costs of common laboratory tests. Residents were taken to a patient specimen collection site for a tour and introduction, followed by approximately 2 hours of didactic sessions, and ending with a tour of a large tertiary care testing facility. CONCLUSION: The program was very well received by family medicine residents and resulted in a substantial increase in residents' self-assessed knowledge of the 7 topics covered in the curriculum. It is hoped that this program will fill an important gap in residency training and support residents' competency in the "selectivity" domain of training.

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)0.002
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.013
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 head0.315
Teacher spread0.275 · 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.

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

Citations13
Published2014
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicClinical Laboratory Practices and Quality ControlFrench-language works237,207