MULTINATIONAL INTEGRATED MEDICAL UNIT BOSNIA – OPERATING THEATRE ACTIVITY ANALYSIS
Bibliographic record
Abstract
Introduction An analysis was carried out of the operating theatre activity at the Role Three Multinational Integrated Medical Unit, located at Sipovo in Bosnia. The overall number of operative procedures, over a two-year period from January 2001 - December 2002, were studied. A total of 409 patients were treated and 443 operations were carried out. The patients ranged in age from 2 – 83 years. Results 202 operations were performed in 2001 and 241 operations in 2002. Of the total operations, 349 (79%) were performed by the General Surgeon and 91 (21%) performed by the Orthopaedic Surgeon. The majority of patients treated were local civilians, who outnumbered military personnel, by a ratio of 3:1. 347 operations (78%) were of a non-emergency nature and 96 carried out as emergencies (22%). Of the 111 military patients operated on, 63 were from the UK, 25 were Dutch, 16 Canadian and the rest from other countries. The vast majority of orthopaedic procedures performed were of a minor nature, such as incision and drainage, wound debridement and tendon repair. The general surgical procedures consisted largely of elective surgery in the local civilian population. During my deployment of three months, from November 2002 - January 2003, I carried out 11 operative procedures on 9 patients, 6 of these patients were civilian and 3 military. During the same period, 23 general surgical procedures were performed. Conclusion My personal experience over 3 months and, a wider analysis over 2 years highlights, the gross under-utilisation of scarce and valuable resource. I feel that the deployment of a General Surgeon with trauma experience could very adequately provide combined surgical cover for the two specialities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".