Developing a reusable simulation model to improve access to diagnostic imaging clinics in Nova Scotia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Diagnostic Imaging (DI) has been targeted as one of five priority areas for wait time reductions in Canada. As part of the federal initiative to improve access to care, the Province of Nova Scotia has initiated a pilot project to evaluate a series of administrative and operational changes to appointment booking and procedure scheduling. A simulation model has been created for DI clinics in Nova Scotia to aide in the evaluation of these wait time reduction interventions. The model, currently under development, has been created as a reusable simulation in which a single modelling framework is used to represent several different clinics. We believe that this will reduce the overall development time of the clinic models; allowing the model to be deployed several times during the course of the project.In this paper we will present the rationale for the DI Wait Time Access Project and discuss the interventions to be trialled as part of the program. We discuss the experimental frame to objectively evaluate the interventions and describe how a reusable simulation model is the most appropriate framework to support the project's objectives.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it