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Record W2166931169 · doi:10.1002/alr.21181

Cost of outpatient endoscopic sinus surgery from the perspective of the Canadian government: a time‐driven activity‐based costing approach

2013· article· en· W2166931169 on OpenAlexaffabout
Jennifer Au, Luke Rudmik

Bibliographic record

VenueInternational Forum of Allergy & Rhinology · 2013
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineActivity-based costingPerspective (graphical)Government (linguistics)Outpatient surgeryEndoscopic sinus surgeryGeneral surgerySurgeryMarketingArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: The time-driven activity-based costing (TD-ABC) method is a novel approach to quantify the costs of a complex system. The aim of this study was to apply the TD-ABC technique to define the overall cost of a routine outpatient endoscopic sinus surgery (ESS) from the perspective of the Canadian government payer. METHODS: Costing perspective was the Canadian government payer. All monetary values are in Canadian dollars as of December 2012. Costs were obtained by contacting staff unions, reviewing purchasing databases and provincial physician fee schedules. Practical capacity time values were collected from the College and Association of Registered Nurses of Alberta. Capacity cost rates ($/min) were calculated for all staff, capital equipment, and hospital space. RESULTS: The overall cost for routine outpatient ESS was $3510.31. The cost per ESS case for each clinical pathway encounter was as follows: preoperative holding ($49.19); intraoperative ($3296.60); sterilization ($90.20); postanesthesia care unit ($28.64); and postoperative day ward ($45.68). The 3 major cost drivers were physician fees, disposable equipment, and nursing costs. The intraoperative phase contributed to 94.5% of the overall cost. CONCLUSION: This study applied the TD-ABC method to evaluate the cost of outpatient ESS from the perspective of the Canadian government payer and defined the overall cost to be $3510.31 per case.

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)0.002
metaresearch head score (Gemma)0.011
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.481

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0090.011
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.252
Teacher spread0.227 · 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

Citations61
Published2013
Admission routes2
Has abstractyes

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