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Record W2055714126 · doi:10.12927/hcq.2002.16681

Improving the Management of Waiting Lists for Elective Healthcare Services: Public Perspectives on Proposed Solutions

2002· article· en· W2055714126 on OpenAlexaffabout
John McGurran

Bibliographic record

VenueHealthcare Quarterly · 2002
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrioritizationGeneral partnershipWaiting listHealth careMedicineBusinessPublic healthOperations managementHealth servicesNursingMedical emergencyPolitical scienceEnvironmental healthProcess managementSurgeryFinance

Abstract

fetched live from OpenAlex

An innovative approach to managing waiting lists and access to elective care, and one that is more fair and consistent with the 'guarantee of access' as stipulated in the Canada Health Act, has been developed by a partnership of medical associations, provincial ministries of health, regional health authorities and research centres. Operating as the Western Canada Waiting List Project, this group has developed beta versions of waiting list prioritization tools in five problematic clinical areas: hip and knee joint replacement; cataract removal surgery; general surgery; children's mental health services; and MRI scanning.

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)0.027
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.005
Scholarly communication0.0130.006
Open science0.0030.003
Research integrity0.0120.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.088
GPT teacher head0.375
Teacher spread0.286 · 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 designQualitative
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

Citations24
Published2002
Admission routes2
Has abstractyes

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