Implementation of a redistribution system for near-outdate red blood cell units.
Bibliographic record
Abstract
CONTEXT: Many remote hospitals keep small on-site stocks of red blood cell (RBC) units for emergency use and to support patient care programs. In Canada, the blood supplier does not accept returned units into inventory. Discard rates can, therefore, be high. OBJECTIVE: To transport near-outdate RBC units to a high-usage hospital site, which would reduce overall discard rates, thereby increasing overall stock levels available in the blood system. DESIGN: A blood transportation system was developed and validated. The validation was presented to a high-usage site that agreed to accept near-outdate RBC units transported by this system. Stocks at the remote hospitals were optimized without increasing system-wide discard rates. The redistribution program was implemented in 4 remote sites in northern Alberta, Canada. The final disposition of each transported unit was tracked. Data from the first 2 years were analyzed. RESULTS: Between April 1, 2003, and March 31, 2005, 106 RBC units were successfully transported to and transfused at the high-usage site. The majority of the units were group O. None of the transfused units were involved in any reported transfusion reactions. The success rate of the transportation system varied among the sites (59%-78% successfully transported and transfused). Changes to the transport system were implemented as problems were discovered. The use of a temperature monitor in each shipment allowed for concurrent revalidation after each change. CONCLUSIONS: Redistribution systems can be an effective way to reduce RBC unit discard rates. Even simple transportation systems have many factors affecting the RBC unit temperature. Novel temperature stabilizing materials may make future transportation of RBC units more reliable.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".