PS-098 Reorganisation of medication circuit in the operating and delivery room
Bibliographic record
Abstract
Background Pharmacy practice is highly regulated and the medication circuit is complex in healthcare settings. Required organisational practices of the national accreditation authority also provide a normative framework. Purpose To describe the reorganisation of the medication circuit in the operating (OR) and delivery (DR) room. Material and methods A prospective descriptive study was conducted in OR and DR in a 500 bed teaching hospital. Following a review of literature, an Ishikawa diagram was developed to identify failure modes. Thereafter, a semi-structured direct observation in OR and DR was done to identify key issues. Corrective measures were discussed and adopted by consensus with a multidisciplinary group, including pharmacists, anaesthesiologists, nurses and respiratory therapists. Results 10 failure modes associated with the medication circuit and 18 key issues were identified. A total of 30 corrective measures were proposed. While all inpatient care areas have designated pharmacists to provide decentralised pharmaceutical care in the hospital, the OR and DR have none. Pharmacists were identified to share such coverage within their current intensive care and surgical care daily duties. Automated dispensing cabinets were implemented to better control drug dispensing and stock replenishing for each room. A safe anaesthesia box system was chosen and the drug content standardised with a detailed record sheet, improving the management and the documentation of prepared and administered doses, including residual quantities at the end of a shift. The system was pre-tested and improved before implementation. A radio-identification based system was also developed to manage RFID labels and anaesthesia box replenishing steps within the central pharmacy. A monitoring system was chosen to monitor cold chain of drugs stored in refrigerators. Expiration dates were reviewed according to current standards to minimise risks of contamination. Drug utilisation reviews were identified for drug targets to offer feedback to drug prescribers. Conclusion OR and DR are often less supported by pharmacy to insure an optimal medication circuit. With a view to ensuring continuous improvement of quality of patient care, audits should be performed to measure the impact of corrective actions implemented. References and/or acknowledgements Thanks to pharmacists and medical and paramedical staffs for their collaboration. No conflict of interest
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".