A Computer Generated Induction System for Hospitalized Patients Starting on Oral Anticoagulant Therapy
Bibliographic record
Abstract
There is an increasing use of computer-based dosage programs to monitor oral anticoagulant therapy in outpatients. DAWN AC INDUCTION by 4S, UK, is a computer generated system to initiate oral anticoagulant therapy providing fast access to the maintenance program. This method of initiation of anticoagulant therapy has not been validated. We therefore randomized 50 hospitalized patients starting oral anticoagulation to control by the computer and 51 by manual dosing using a dosing schedule based on a locally defined algorithm. After a 7 days follow up, the daily mean INR was 2.09 and 2.07 and the proportion of dose adjustments was 48% and 45% in the computer and manually controlled groups respectively. Twenty-eight % of the patients monitored by the computer system required at least one manual overriding. DAWN AC INDUCTION provided a simple and accurate organization of the data, with an overall quality comparable to that of the manual system. Furthermore, the induction programme provided simple access to the maintenance programme. Although it required careful monitoring, the programme resulted in a significant saving in personnel time.
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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 | 0.000 |
| 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 | 0.000 |
| 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".