The legal regulation of Internet drugs in China is facing the dilemmas including that the legal authority is insufficient,the situation of drug safety is not optimistic,the mechanism of legal regulation lags behind,legal regulation content is inadequate and consumers lack trust in the purchase of online drug.Learning from the experience of internet drug regulation in the United States and Britain,our country could seek the rules of law for improving internet drug regulation.It includes establishing and gradually perfecting the regulation system of internet drug,establishing the associative mechanism of relative departments,strengthening the daily supervision,fully guaranteeing the legitimate interests of consumers and clearing the legal responsibilities of licensed pharmacists.

Artificial intelligence algorithms play an important role in the medical field with their unique technological advantages and operational logic. However, due to the " black box" nature and security flaws of artificial intelligence algorithms, there were problems in the application of intelligent medical algorithms, such as the alienation of medical personnel′s subject status, the alienation of right to informed consent for diagnosis and treatment, the alienation of health fairness, and the alienation of health information security. At the same time, there were some practical difficulties in the process of regulating risks, such as the difficulty in determining the responsibility of the legal person, the incompleteness of the causal chain, the lag of the scene regulation of laws and regulations, and the increasing difficulty in protecting health information. In order to prevent the alienation of power in medical intelligent algorithms and promote the healthy development of intelligent medicine, the author suggested to adhere to the embedding of tool attributes in the underlying logic of medical algorithms, enhance the interpretability of medical algorithms, improve relevant laws and regulations, and strengthen the risk supervision mechanism of intelligent medical algorithms.

Traditional Chinese medicine （TCM） has special advantages and independent value in fighting major epidemics such as emerging infectious diseases. To exert the efficacy of TCM in the field of public health emergency management， it is necessary to clarify the necessity and analyze the obstacles， hidden dangers， and ethical risks of integrating TCM into the public health emergency management system. By optimizing the legal system of integrating TCM into the public health emergency management system， improving the construction of system and mechanism of health emergency management for preventing and controlling major epidemics with TCM， enhancing the strength of clinical scientific research technology of TCM in preventing and controlling epidemics， strengthening the discipline education of TCM and the construction of the talent team， based on the background of combining Chinese and Western medicine， the integration of TCM into the national public health emergency management system can be promoted.

Blockchain technology, based on its own characteristics of on-chain information that non-deletable, overlay modification and traceability, plays a unique advantage in the early warning of major infectious diseases. However, in practical applications, the construction of early warning mechanism for major infectious diseases faces ethical problems caused by dilemmas, such as community epidemic prevention, medical data sharing, public opinion supervision, itinerary supervision, and traceability of medical supplies. Therefore, it is significant to give full play to the advantages of blockchain technology, empower the early warning mechanism of major infectious diseases, and improve the quality and effect of early warning of infectious diseases.

Major infectious disease epidemic continues to pose a threat to human health and society, and the effective establishment and implementation of an early warning system plays a key role in addressing public health security risks. At present, the research on early warning of infectious diseases in the academic community mainly focuses on early warning information system, early warning mechanism, laws and regulations of early warning of infectious diseases, and some studies lack specific suggestions on operation methods. By collating and summarizing the literature from 2002 to 2022, regarding the early warning system and mechanism of major infectious diseases, this paper focused on analyzing the public health ethical dilemmas existing in the early warning process and discussing how to strengthen the construction of the early warning system of infectious diseases, so as to lay the foundation for creating more scientific early warning schemes of infectious diseases.

The use of digital means has made the public health emergency management more efficient and convenient. However, in the practice of managing public health emergencies, there are dilemmas in the protection of personal health information, such as the imperfect legal system, the weakened right of informed consent and control, the lack of reasonable norms in the collection and use of information, and the disclosure of personal health information. To solve the dilemma of personal health information protection, it is necessary to improve the corresponding legal mechanism, strengthen the classification of health information, standardize the behavior of health information collection and use, enhance the technical support of personal health information protection, build a system combining law and technology, and protect the security of personal health information.