Implementation and evaluation of an alphanumeric paging system on a resident inpatient teaching service
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Numeric pagers are commonly used communication devices in healthcare, but cannot convey important information such as the reason for or urgency of the page. Alphanumeric pagers can display both numbers and text, and may address some of these communication problems. OBJECTIVE: Our primary aim was to implement an alphanumeric paging system. DESIGN: Continuous quality improvement study using rapid-cycle change methods. SETTING: General Internal Medicine (GIM) inpatient wards at 1 tertiary care academic teaching hospital. PARTICIPANTS: All residents, attending physicians, nurses, and allied health staff working on the general medicine (GM) wards. MEASUREMENTS: We measured: (1) the proportion of pages sent as text pages, (2) the source of the pages, (3) the content of the text pages, (4) the pages that disrupted scheduled education activities, and (5) satisfaction with the alphanumeric paging system. RESULTS: After implementation, 52% of pages sent from physicians or the GM wards were sent as text pages (P < 0.001). 93% of pages between physicians were text pages, compared to 27% of pages from the GM wards to physicians (P < 0.001). The most common reason for text paging among physicians was to arrange work or teaching rounds (33%). The most common reason for text paging from the GM wards was to request a patient assessment or for notification of a patient's clinical status (25%). There was a 29% reduction in disruptive pages sent during scheduled educational rounds (P < 0.001). CONCLUSIONS: We successfully implemented an alphanumeric paging system that reduced disruptive pages on a GM inpatient service.
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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 | 0.009 | 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 | 0.000 | 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