The National Health Commission (NHC) has issued a set of “Opinions on Strengthening Cross-departmental Law Enforcement in Medical Supervision,” addressing local health commissions, market supervision, healthcare security, traditional Chinese medicine, medical product administration, and other relevant bureaus. The document emphasizes the daily supervision of medical practice, handling of reports and complaints, and addressing hot spots of social concern.
Bureaus are tasked with organizing joint special crackdowns on illegal activities such as the buying and selling of birth medical certificates, issuing false birth medical certificates, and illegally recycling drugs. The focus will be on key practice activities including medical aesthetics, assisted reproduction, physical examinations, medical testing, and internet medical treatment, as well as non-medical needs like fetal gender identification and sex selection for artificial termination of pregnancy.
The document clearly articulates the need to bolster the construction of medical supervision and law enforcement teams, establish and refine regular consultation mechanisms, and create a joint supervision and law enforcement work list. It calls for the promotion of cross-departmental joint disposal of problem clues, the establishment of a mechanism for supervising major cases, and the strengthening of the connection between administrative law enforcement and criminal justice.
Furthermore, it advocates for the establishment of a robust mechanism for coordinating the use of supervision and law enforcement results. Joint random inspections and special rectification around prominent issues in the medical field are required, while innovation and empowerment are encouraged to facilitate the sharing of supervision and law enforcement information.
Additionally, the document outlines plans to establish a supervision and law enforcement platform, aiming to enhance the efficiency and level of supervision and law enforcement of medical practice activities through the use of big data, cloud computing, the internet, artificial intelligence, and other emerging technologies. The application of data models will be explored to establish risk early warning mechanisms, and credit management and results application will be intensified.- Flcube.com
