Patient Scheduling: The Case of an Iranian Cardiology Clinic
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
Across the world, cardiovascular diseases (CVD) are among the leading causes of death. In Iran, it is estimated that about 46% of all the reported deaths is related to CVD. This article focuses on the patient scheduling practices of a private cardiology clinic in Iran. Several complaints from the patients and staff members of the clinic are reviewed. The study shows that the patients in the clinic are classified into six major groups; the steps each group must undergo in the clinic as well as the time related to each operation is measured. A constraint programming model is developed to schedule the patients and rectify the complaints. Computational results based on 30 days of actual data from the clinic reveals that the proposed model manages to significantly improve the efficiency measures and is successful in resolving the causes of complaints. Furthermore, the developed constraint programming generates optimum solutions in a rather short amount of time.
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.
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 | 0.005 | 0.003 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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