Pharmaceutical Management for Patients: Calculation of Administration Fees for Intensive Care Unit
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Bibliographic record
Abstract
In April 2008,the Japanese government introduced a revised fee schedule for medical services.We report on pharmaceutical management for calculating administration fees under the revised schedule for the intensive care unit (ICU).We prepared a special form for standardizing pharmaceutical management for the ICU and its usefulness was evaluated through an interview survey of physicians.It was found that in the six-month period after the revised fee schedule was introduced,changes in prescriptions were necessary for 31 items in 94 cases (total interventions : 564 cases) for the ICU and 31 items in 38 cases (total interventions : 359 cases) for the coronary care unit (CCU).The physicians were also questioned on the benefits of pharmacist participation in intensive care management.Many physicians in the ICU said that it was useful to be able to inquire about a patient's history of adverse effects and their frequencies and many in the CCU said that it enabled them to check patients' drug histories as well as the drugs that they brought to hospital easily.In both units,physicians desired information on proper doses of anti-MRSA agents and other antibiotics.The ICU management form we made was considered useful in that it allowed physicians to know about time-lapse circulatory dynamics and laboratory test results.Such information is necessary for pharmacotherapy used in the management of cardiovascular diseases.The form also provided documentation for drugs frequently requested by physicians and those requiring particular caution.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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