UNDERSTANDING THE ROLE OF ENHANCED PUBLIC HEALTH MONITORING SYSTEMS: A SURVEY ON TECHNOLOGICAL INTEGRATION AND PUBLIC HEALTH BENEFITS
Authors:   (MBA in Business Analytics, MBA in Management Information Systems), International American University. Los Angeles, California, United States, Rahman Siddikur , Alve Shariar Emon ,   (MBA in International Business), Ajou University, South Korea, Islam Md Shahidul ,   (MBA in Business Analytics), International American University. Los Angeles, California, United States, Dutta Shuvo ,   Department of Physics, Master of Arts in Physics, Western Michigan University, USA Master of science in Physics, University of Dhaka, Bachelor of Science in physics, University of Dhaka, Bangladesh, Islam Muhammad Mahmudul ,   MBA in Management Information Systems), International American University. Los Angeles, California, United States, Ahmed Arifa ,   (MBA in Management Information Systems), International American University. Los Angeles, California, United States, Sikder Rajesh ,   PhD student in Information Technology, University of the Cumberlands, KY, USA, Master of Arts in Mathematics, University of Louisville, KY, USA Bachelor of Science in Mathematics, Khulna University, Bangladesh, Kamruzzaman Mohammed ,   Assistant Professor, International University of Business Agricultural and Technology, United States
Published: October 2024

Introduction: Various changes in technologies have impacted the public health monitoring systems especially in the United States. AI and IoT, Big Data, block chains have enhanced the ways that diseases are monitored, vaccinations are administered and emergency responses are coordinated. Issues like the infrastructure constraints, privacy issues and variability in technological implementation graduality’s limit the extent to which these technologies can be scaled up in U.S. public health systems. Objective: The aim of this study is to evaluate the impact of technological improvement on the improvement of the public health monitoring systems in United States. It assesses the utilization of superior technologies and considers the observed enhancement of general health status together with the problems identified in the application of technologies. Methods: A quantitative cross-sectional survey was filled by 400 participants from the PH and technology workers working throughout the USA in the public health sector. Community and purposive sampling techniques were used and data were self-administered from the participants through an online structured questionnaire. The survey included questions about participants’ degrees of awareness of AI, IoTs, Big Data and blockchain, concerning their applicability to public health surveillance and the potential challenges to their application. Descriptive statistics, chi-square, independent sample t test, one way analysis of variance, Pearson correlation analysis and multiple regression analysis were conducted in SPSS V 26. Results: The current study revealed that the use of AI, IoT, Big Data and blockchain technologies has accelerated the enhancement of public health surveillance, including disease detection and vaccination management. Awareness of these technologies was directly related to perceived impact on public health to the extent of r = 0.75, p < 0.001. Other issues like lack of funding, lack of technical knowledge and issues surrounding privacy were cited as major reasons for inadequate scaling up. Conclusion: The results point out that new technology has a potential for advancing the system for monitor public health in the United States but there are some barriers. Challenges that prevent expansion and growth of these technologies include inadequate infrastructure, funding and data protection must be overcome in order to enhance the efficiency of the technologies to deliver on their intended health benefits. More work is necessary to expand understanding of longevity of these phenomena and ways of preventing these challenges.