Study on new medical technology access index system for tertiary public hospitals
Bibliographic record
Abstract
Objective To establish a scientific and comprehensive evaluation index for new technology access in tertiary public hospital, so as to provide a tool for new technology access management system and scientific basis for decision-making. Methods This study collected data from eight provinces nationwide including 30 tertiary public hospital based new technology access application, catalogued dimensions of application. It also referred to the European Union, Denmark, Canada and other countries in forming the hospital health technology assessment form, along with two rounds of Delphi expert consultation. Results The new medical technology access index system of China′s tertiary public hospitals was preliminarily formed, including 5 first-level indexes and 24 level-2 indexes. Conclusions The two rounds of expert advice have a high degree of consistency, indicating that the indicators are in line with the actual situation of hospital management in China, yet with rooms of constant improvement in practice. Key words: Hospitals, public; New technology; Access; Delphi expert consultation; Index system
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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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".