Changes of the system of postoperative care decreases mortality in a surgical unit
Bibliographic record
Abstract
In 2005, 10 public health care institutions functioned in the area of Lodz, having in their structure a surgical unit classified as a general surgery unit. They were three university teaching hospitals, three provincial hospitals, three county hospitals and one departmental hospital. Mortality in university teaching hospitals having 167 beds was 1.25%, in provincial hospitals with 191 beds was 2.96%, and in county hospitals with 140 beds was 3.98%. The lowest percentage mortality was noted in the surgical unit of Bolesùaw Szarecki University Teaching Hospital No. 5 in Lodz (UH No. 5) and it was 0.35%. The authors decided to analyse the causes of such low mortality in this hospital. Two remaining university teaching hospitals, N. Barlicki University Teaching Hospital No. 1 in Lodz (UH No. 1) and WAM University Teaching Hospital No. 2 in Lodz (UH No. 2), were selected for comparative analysis. The selection was dictated by a few reasons. The Medical University in Lodz is the founding body of all hospitals subjected to analysis. These hospitals are only a few kilometres away from each other. The units have a similar number of beds, and well-educated medical and nursing staff. Heads of the hospital departments have all been awarded a professorship. Health benefits are provided on the basis of the same list of benefits as part of contract with the same payer – Lodz Provincial Branch of the National Health Fund.
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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".