Customized communication between healthcare members during the medication administration stage
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
Communication between nurses and other healthcare member is essential during the bedside medication administration stage to provide effective patient care and prevent medication errors. The nurse provides information to the physician and pharmacist when consultation regarding medication errors or concern is needed. This information is very critical as it affects the situation assessment and clinical judgment. Insufficient information can lead to failure in treatment and jeopardize patient health. The research to date has focused on improving tools for general communication between healthcare members. However, none of them have been customized to effectively fit the medication administration stage nor have considered the content of the communication. Therefore, in this paper, we propose a novel idea of customized communication that precisely applies to the medication administration stage. We developed the Medication Administration Communication (MAC) application that generates the essential content of communication between the nurse and other healthcare members. We evaluated the application by testing its usability from the nurses perspective.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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