Decreasing unnecessary use of continuous cardiac monitoring (telemetry) in hospitalised patients
Bibliographic record
Abstract
### What you need to know Since its development in 1949, in-hospital continuous electrocardiographic monitoring (hereinafter “telemetry”) has become increasingly important for clinical care of hospitalised patients.1 Telemetry is used for a variety of applications, including diagnosis and monitoring of arrhythmias, detection of myocardial ischaemia, and monitoring of ST segments and QT intervals. Specialist societies around the world have published practice standards to inform clinicians when telemetry should be used.234 Appropriate clinical indications are listed in box 1 and include patients with suspected or confirmed acute coronary syndromes, acute decompensated heart failure, high grade arrhythmias, post-cardiac arrest, severe electrolyte derangements, use of certain medications, and ingestion of pro-arrhythmic agents.234 Box 1 ### Indications for appropriate continuous electrocardiographic monitoring recommended by international specialist societies #### Agency for Clinical Innovation’s Clinical Practice Guide (Australia)2RETURN TO TEXT
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".