Diagnoses and Procedures in Pediatric Surgery at Your Fingertips: A Special Catalogue in the Intranet
Bibliographic record
Abstract
Summary: Background: For an adequate documentation in pediatric surgery the international catalogues for diagnoses und procedures in medicine (ICD, ICPM) are often insufficient. In order to achieve a more detailed documentation and guarantee simple and safe usage a special catalogue was created and integrated into an intranet solution. Methods: The hardware was supplied by the administrator of the clinic, all software necessary could be downloaded as freeware from the internet. The installation of client software at the workstations as so-called database clients was automatically achieved with the uploading of an internet browser. For integration of the database carrying the diagnoses and procedures in pediatric surgery, the author developed a middleware module which connected intranet and database. Results: The prototype of the database was installed successfully. With the help of an extensive thesaurus, diagnoses and procedures for pediatric surgery could be retrieved in a comfortable way by any internet experienced user. Therefore, the time for getting familiar with this tool was short. Conclusions: Special catalogues of diagnoses and procedures in pediatric surgery could meet the requirements of the new health care guidelines in Germany. The Internet technology applied to a local network as an intranet allowed a simple integration of these catalogues into the process of documentation. People experienced little difficulties to start up working with the system because the interface was familiar. Since the software was downloaded as freeware, overall expenses were low. A later integration of this solution in a documentation system could be possible.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".