MétaCan
Menu
Back to cohort
Record W3127599264 · doi:10.1503/cjs.012120

The Canadian Ophthalmology Society’s adaptation of the Medically Necessary Time-sensitive Surgical Procedures triage and prioritization tool

2021· article· en· W3127599264 on OpenAlexaffvenueabout
Salina Teja, Colin Mann, Phil Hooper, Yvonne M. Buys, Vivian T. Yin

Bibliographic record

VenueCanadian Journal of Surgery · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsUniversity of TorontoUniversity of British ColumbiaDalhousie University
Fundersnot available
KeywordsMedicineTriagePrioritizationPandemicMedical emergencySurgical proceduresAmbulatoryCoronavirus disease 2019 (COVID-19)Personal protective equipmentPopulationAdaptation (eye)Intensive care medicineDiseaseOptometrySurgeryInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

<h3>Summary</h3> At the start of the coronavirus disease 2019 (COVID-19) pandemic, hospitals and ambulatory surgical centres significantly decreased elective surgical procedures to facilitate capacity for in-hospital beds, preserve personal protective equipment (PPE), preserve anesthetic medications and limit spread of infection. Non-COVID-19–related ophthalmic disease continues to affect vision, and it is anticipated that the backlog of elective surgeries will require months to years to resolve. The delivery of ophthalmic surgical care in a prioritized, systematic and transparent way is vital to manage the surgical backlog while minimizing vision loss and consequent disability in the Canadian population. The Canadian Ophthalmology Society (COS) has modified the published Medically Necessary, Time Sensitive (MeNTS) Procedures scoring system to be applicable to all subspecialties within ophthalmology. This case prioritization process integrates medical necessity, consideration of resource preservation with risk of COVID-19 exposure, and factors unique to eye care. It provides guidance to Canadian ophthalmologists to facilitate decision making in triaging elective procedures.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.064
GPT teacher head0.343
Teacher spread0.279 · 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 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

Citations5
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of SurgerySame topicHealthcare Operations and Scheduling OptimizationFrench-language works237,207