A Survey of Physician Training Programs in Risk Management and Communication Skills for Malpractice Prevention
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
Malpractice lawsuits serve as a great source of pain, consternation and loss for physicians and patients alike, usually leaving all parties involved in the process with a sense of betrayal. A significant number of physicians will be sued at least once in their career, especially if they practice in some of the more vulnerable specialties. In addition, there is some evidence that the threat of malpractice lawsuits changes the practice style of many physicians, leading to the practice of “defensive medicine” and raises the total cost of health care. Clearly, the prevention of medical malpractice is an issue that deserves considerable attention from physicians and from those who train them. Empirical evidence suggests that medical negligence may play a relatively minor role in malpractice lawsuits. As demonstrated by Localio, et al., one in thirty-five cases of negligence or incompetence actually results in a lawsuit.
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.
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 | 0.037 | 0.005 |
| 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 | 0.002 |
| 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 it