The American medical liability system: An alliance between legal and medical professionals can promote patient safety and be cost effective
Bibliographic record
Abstract
Objective: The aim of this paper is to evaluate a hypothesis premised on the idea that if medical leaders in the United States support an unfettered access for patients injured by medical error to the American civil justice system, that approach would improve patient safety and be cost effective. Method: An analysis of the relevant legal and medical literature. Results: Medical liability in the American civil justice system derived from traditional tort law is based on accountability. Reforms applied to medical liability cases urged by healthcare providers limit and in some cases eliminate legal rights of patients injured by healthcare error which rights exist for all others in non-medical cases. Yet medical liability cases have promoted a culture of safety. Information learned from medical liability cases has been used to make care safer with a reduced incidence of adverse outcomes and lower costs. A just culture of safety can limit provider emotional stress. Using the external pressures to reduce the incidence of law suits and promoting ethical mandates to be safer and disclose the truth can promote provider satisfaction. Conclusions: An alliance between legal and medical professionals on the common ground of respect for the due process legal rights of patients in the American system of justice and the need for accountability can make care safer and can be cost effective.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".