Assessment of Standard Writing of Outpatient Prescriptions and Rational Use of Antibiotics
Bibliographic record
Abstract
OBJECTIVE:To standardize the writing of outpatient prescriptions and set up monitoring mechanism on rational use of antibiotics and drug costs.METHODS:A total of 400 prescriptions collected from 8 departments(50 from each department)of our hospital in the fourth quarter of 2005(before the examination)and from first to fourth quarter in 2006(after the examination)were examined statistically according to Inspection Items and Writing Requirements of Clinical Prescriptions,Guiding Principle of Rational Application of Antibiotics in Hospital,Principles of Classified Management of Antibiotics which were formulated by our hospital.RESULTS:Before prescription examination,the qualified rate of prescriptions was only 57.5%,but rose to an average of 85.6% after the examination.CONCLUSION:To include the standardized writing of prescriptions and reasonable application of antibiotics in the assessment of hospital comprehensive goals was proved to be an effective management method.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".