International Society of Oncology Pharmacy Practitioners (ISOPP) position statement: Role of the oncology pharmacy team in cancer care
Why this work is in the frame
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Bibliographic record
Abstract
The Oncology Pharmacy Team (OPT), consisting of specialty-trained pharmacists and/or pharmacy technicians, is an integral component of the multidisciplinary healthcare team (MHT) involved with all aspects of cancer patient care. The OPT fosters quality patient care, safety, and local regulatory compliance. The International Society of Oncology Pharmacy Practitioners (ISOPP) developed this position statement to provide guidance on five key areas: 1) oncology pharmacy practice as a pharmacy specialty; 2) contributions to patient care; 3) oncology pharmacy practice management; 4) education and training; and 5) contributions to oncology research and quality initiatives to involve the OPT. This position statement advocates that: 1) the OPT be fully incorporated into the MHT to optimize patient care; 2) educational and healthcare institutions develop programs to continually educate OPT members; and 3) regulatory authorities develop certification programs to recognize the unique contributions of the OPT in cancer patient care.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it