International comparative analyses of healthcare risk management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Interpretation of the growing body of global literature on health care risk is compromised by a lack of common understanding and language. This series of articles aims to comprehensively compare laws and regulations, institutional management, and administration of incidence reporting systems on medical risk management in the United Kingdom, the United States, Canada, Australia, and Taiwan, so as to provide evidence and recommendations for health care risk management policy in China. METHODS: We searched the official websites of the healthcare risk management agencies of the four countries and one district for laws, regulatory documents, research reports, reviews and evaluation forms concerned with healthcare risk management and assessment. Descriptive comparative analysis was performed on relevant documents. RESULTS: A total of 146 documents were included in this study, including 2 laws (1.4%), 17 policy documents (11.6%), 41 guidance documents (28.1%), 37 reviews (25.3%), and 49 documents giving general information (33.6%). The United States government implemented one law and one rule of patient safety management, while the United Kingdom and Australia each issued professional guidances on patient safety improvement. The four countries implemented patient safety management policy on four different levels: national, state/province, hospital, and non-governmental organization. CONCLUSION: The four countries and one district adopted four levels of patient safety management, and the administration modes can be divided into an "NGO-led mode" represented by the United States and Canada and a "government-led mode" represented by the United Kingdom, Australia, and Taiwan.
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it