Engineering a state monitoring service for real-time patient flow management
Why this work is in the frame
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Bibliographic record
Abstract
Addressing wait times is a challenge for the healthcare system. It is difficult for hospitals to measure precisely wait times and root causes. To do so they need to process events from disparate sources in real-time to measure fine grained care states of the patients, providers, beds and other resources related to care processes. In this paper, we present a state monitoring service for patient flow management that has been prototyped with a Toronto area hospital to integrate events from RFID tracking, business process management (BPM) applications and legacy systems. The results show that BPM and RFID provide events in real-time, but on their own could not fully define all states in the care process. Our state monitoring service integrates BPM and RFID and infers new events that define all the states not handled by BPM and RFID.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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