Investigation of drug consumption with ABC analysis in our hospital in the first quarter of 2011
Bibliographic record
Abstract
Objective To comprehend drug use and analyze situation and trends of drug use in our hospital in the first quarter of 2011,in order to manage our pharmacy scientifically and effectively,use medical resources effectively,and promote the rational drug use in clinical practice.Methods The ABC analysis was used to statistical analyze quantity,sales amount and variety of drugs used,with emphasis on pharmacology classification and drug use of class A drugs.Results 1 026 kinds of drugs were counted,including 167 kinds of class A drugs which accounted for 16.28%,and the expense amounted to 53 647 730 yuan which accounted for 74.25%.Class B drugs were 137 species,accounting for drug percentage of 13.35%,the expense amounted to 12 074 116 yuan which accounted for 16.71%.Class C drugs were 722 species,accounting for drug percentage of 70.37%,the expense amounted to 6 535 319 yuan which accounted for 9.04%.And class A drugs mainly concentrated in anti-microbial and nervous system drugs.Conclusion Antibiotics exists unreasonable using conditions sometimes in our hospital,so it is necessary to strengthen the management of antibiotics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".