Improving Perceived Fairness of Task Assignments in Cardiovascular Intensive Nursing Care Unit with Simple Queuing Mechanism
Bibliographic record
Abstract
In this work, a simple computer application is proposed to improve the perceived fairness of Cardiovascular Intensive Care Unit (CVICU) nursing team in hospitals. The proposed system called Intensive care Unit (ICU) Task Assignment Platform (ICU-TAP) is aimed to increase perceived fairness and satisfaction through a systematic but flexible scheduling method. The solution proposed here takes into account the skill preference of each nurse to ensure an equal opportunity to maintain career goals, with an aim to increasing job satisfaction. The system is designed based on the basic concept of queuing. ICU-TAP equally distributes the harder and monotonic tasks among nurses and takes into account the desired skill of each nurse for more frequent assignment of other tasks. The proposed system is expected to make the workflow of the unit traceable, resulting in paperless scheduling, and reducing discrepancies between scheduling and daily task assignment of the nursing unit.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".