Prediction of Medical Disputes Between Health Care Workers and Patients in Terms of Hospital Legal Construction Using Machine Learning Techniques: Externally Validated Cross-Sectional Study.

Background: Medical disputes are a global public health issue that is receiving increasing attention. However, studies investigating the relationship between hospital legal construction and medical disputes are scarce. The development of a multicenter model incorporating machine learning (ML) techniques for the individualized prediction of medical disputes would be beneficial for medical workers.

Association between hospital legal constructions and medical disputes: A multi-center analysis of 130 tertiary hospitals in Hunan Province, China.

Background: Medical disputes are common in hospitals and a major challenge for the operations of medical institutions. However, few studies have looked into the association between medical disputes and hospital legal constructions. The purpose of the study was to investigate the relationship between hospital legal constructions and medical disputes, and it also aimed to develop a nomogram to estimate the likelihood of medical disputes.

[Current situation and countermeasures of medical damage risk sharing system in China].

Although medical damage risks really exist, an effective medical risk sharing system is still not available in China right now. By analyzing the status quo of Chinese medical damage risks sharing system, the authors put forward the following suggestions to improve the current system: Upgrading the preventive strategy for medical disputes, establishing multi-level and multi-channel comprehensive medical damage risks sharing system, promoting the effective cooperation between insurance relief systems and mediation system for medical disputes, and constructing highly effective pathways to resolve the medical disputes.