Strategies for the Application of Big Data in Preventive Medicine in the Field of Public Health
The purpose of this article is to deeply explore the application strategies of preventive medicine big data in the field of public health, with a view to improving the efficiency of public health services, promoting the health level of the population and achieving health equity. Through literature analysis and comprehensive investigation from interdisciplinary perspective, this article systematically combs the application status and challenges of preventive medicine big data in disease monitoring and early warning, health risk assessment and intervention, public health policy formulation and evaluation, and health education and promotion. From the perspectives of sociology, ethics and law, this article comprehensively discusses the social impact, ethical challenges and legal regulation of the application of big data in preventive medicine. The research shows that preventive medicine big data has great application potential in the field of public health, but it also faces many challenges such as data quality, privacy protection, insufficient interdisciplinary cooperation and ethics and law. In view of these problems, this article puts forward corresponding solutions and points out the future research direction.
Authors
- Sijia Huang (ORCID: https://orcid.org/0000-0002-4680-9484)
Publication Details
- Journal
- Academic Journal of Science and Technology
- Published
- 2024-11-06
- DOI
- https://doi.org/10.54097/a4ekws45
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00