Modeling and Simulation Analyses of Healthcare Delivery Operations for Inter-Hospital Patient Transfers
Why this work is in the frame
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Bibliographic record
Abstract
Inter-hospital transfers of patients for different elements of care have been increasingly used as a common strategy for providing quality healthcares through sharing limited resources worldwide. In this paper, the authors study the problem of healthcare delivery operations for inter-hospital patient transfers motivated by a real-world case within the South East Local Health Integration Network of Ontario. The authors use a directed graph to develop a general model for obtaining the solution that minimizes the overall transportation time while satisfying all the inter-hospital transfer requests with identical or different start and end points. The authors also perform simulation analyses to study the fleet sizing problem through evaluating different service performances with different fleet sizes. A number of implementation issues for managing inter-hospital patient transfer services are also discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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