PROFESSIONAL LIABILITY INSURANCE OF MEDICAL WORKERS IN THE REPUBLIC OF KAZAKHSTAN
Bibliographic record
Abstract
The article is devoted to a close analysis of the legal prerequisites of the system of professional liability insurance of medical workers being introduced in the Republic of Kazakhstan. To achieve this goal, the authors conducted a review of the best world practices, foreign legal models of the use of insurance for legislative protection of medical workers from the risks of professional responsibility. The article summarizes the material related to the legal basis of this type of insurance in the country, the procedure for insurance and compensation for damage caused, the scope of the powers and responsibilities of the parties involved in insurance. According to the plan, starting from 2023, it is proposed to introduce compulsory insurance at the expense of employers, and from 2025 – joint insurance, which provides for the distribution of the amount of the insurance premium between a medical organization and a medical worker, which will lead to general professional responsibility, will have a positive impact on improving the quality of services provided, will become an effective tool for reducing conflict in medical organizations. Considerable attention is paid in the article to the models of professional liability insurance of medical workers in Turkey, Canada, Sweden. In this regard, the authors investigated the role of mutual insurance societies and specialized medical associations in concluding professional liability insurance contracts in these countries. This approach allows the authors to consider the possibilities of applying successful foreign practices in Kazakhstan and identify promising areas of their legal support. The article reveals the problems of10.52026/2788-5291_2023_73_2_53 determining the maximum amount of the insurer's liability for an insured event at the initial stage of the introduction of the insurance system, procedural provision of insurance payments and other guarantees provided by law. As a result of the study, the authors put forward a hypothesis about the need to consolidate the joint responsibility of a medical worker and a medical institution, which will ensure the mutual interest of all subjects of the healthcare system in providing quality services to the population.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".