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Record W4251605958 · doi:10.5858/2003-127-1248-acoapa

Are College of American Pathologists Accreditation Standards Relevant Outside North America?

2003· article· en· W4251605958 on OpenAlexaff
Ken Obenson, D S James

Bibliographic record

VenueArchives of Pathology & Laboratory Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicClinical Laboratory Practices and Quality Control
Canadian institutionsSaint John Regional Hospital
Fundersnot available
KeywordsMedicineAutopsyQuality assuranceAccreditationGeneral surgeryPathologyMedical education

Abstract

fetched live from OpenAlex

To the Editor.—We describe our experience within the Division of Anatomic Pathology at Cornwall Regional Hospital in Western Jamaica in testing the local relevance of a widely known laboratory quality assurance protocol. Although several protocols exist, those described by the College of American Pathologists (CAP) are widely recognized.Cornwall Regional Hospital is the main health facility on the West Coast of Jamaica. It has a bed capacity of 500 and receives approximately 80 000 patients from a geographic base of approximately 500 000. Approximately 100 physicians provide comprehensive medical services. The Division of Anatomic Pathology (AP) is part of the Department of Pathology, which is further subdivided into histology, cytology, and autopsy units. The AP laboratory occupies an area of approximately 1400 sq ft (427 m2). At the time of our inspection, there was 1 pathologist, 1 cytotechnologist (MSc degree), 2 medical technologists (BSc degree), 2 clerical officers, and 2 autopsy assistants, all full-time. The main equipment included 1 tissue processor, 1 cryostat, 2 microtomes, a refrigerator and 2 fume hoods, an automated stainer, 2 autopsy beds, and a morgue refrigerator with capacity for 12 bodies. A separate storage area of 200 sq ft (61 m2) for processed tissue, slides, and paraffin blocks is attached to the morgue. Annual intake averages 3000 or more surgical pathology specimens, 6000 Papanicolaou smears, 180 fine-needle aspiration biopsy specimens, 400 fluid samples, and 400 bodies for autopsy.Both authors conducted the inspection throughout 3 days, using the CAP checklists published in 2000.12 Only the lead inspector, who had prior training and experience in laboratory inspections, knew that an inspection was scheduled. Criteria relating to National Committee for Clinical Laboratory Standards and Centers for Medicare and Medicaid Services were excluded, since these were not of obvious local relevance. The results indicated that the laboratory easily satisfied most of the criteria. Tables 1 and 2 show “deficiencies.”A lack of regular manual updates was one reason for deficiencies in quality control, whereas space and ventilation accounted for most deficiencies in the physical facility and safety. The hospital administration took quick action to modify the work and safety environment. We also updated manuals and added written parameters to our quality assurance protocols. Funding would be required to participate in North American–style interlaboratory comparison programs, although local quality control was ensured by regular random and selected review of our cases by pathologists at the National Public Health Laboratory and the University of the West Indies, both in Kingston, Jamaica.Computerization of administrative protocols (eg, manual updates) would improve compliance particularly in the histology laboratory, especially in times of staff shortage. With slight modifications, CAP criteria can be readily exported to supplement local quality assurance tools.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.086
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.086
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0060.006
Open science0.0050.001
Research integrity0.0190.013
Insufficient payload (model declined to judge)0.0160.010

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 head0.031
GPT teacher head0.359
Teacher spread0.328 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2003
Admission routes1
Has abstractyes

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