In the era of Big Data (BD), PHM is facing unprecedented changes and opportunities. This article discusses the innovation of Public Health Management (PHM) mode under the BD environment, points out the challenges faced in this process, and puts forward corresponding solutions. Through the introduction of innovative models such as data-driven decision support system, inter-departmental collaboration and information sharing, and precise public health intervention, the potential of BD technology in improving PHM efficiency, optimizing resource allocation, and strengthening disease prevention and control is demonstrated. This innovation process also faces challenges such as data privacy and security, data quality and accuracy, shortage of technology and talents, cross-departmental coordination problems and lagging laws and regulations. Therefore, this article puts forward a series of targeted countermeasures in order to provide guidance for the future development of PHM and promote the sustainable progress of global public health undertakings.
No takes yet. Share an insight, caveat, or question.
Hanzhong Liang (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: