Leveraging Artificial Intelligence and Robotic Process Automation to Streamline Administrative Workflows in Public Health Departments
Keywords:
Artificial Intelligence, Robotic Process Automation, Public Health Administration, Workflow Optimization, Health Informatics, Intelligent AutomationAbstract
Public health departments globally face increasing administrative demands, particularly in response to evolving public health challenges and pandemics. In this context, Artificial Intelligence (AI) and Robotic Process Automation (RPA) emerge as transformative tools to optimize efficiency and resource utilization. This paper explores the role of AI and RPA in streamlining administrative workflows within public health agencies, focusing on their application, potential benefits, implementation challenges, and implications for public service delivery. A review of literature establishes a strong foundation for integrating intelligent automation, while original tables and diagrams illustrate current applications and opportunities for workflow transformation.
References
Willcocks, Leslie, Mary Lacity, and Andrew Craig. The IT Function and Robotic Process Automation. London School of Economics Outsourcing Unit, 2015.
Rikhi, D. (2022). Python and AI: A Synergistic Relationship in Technology. Journal of Artificial Intelligence, Machine Learning & Data Science, 1(1), 1796–1798. https://doi.org/10.51219/JAIMLD/deepika-rikhi/398.
Topol, Eric. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, 2019.
Nguyen, Nam T., Thao P. Nguyen, and Tam T. Nguyen. "AI Applications in COVID-19 Response: A Global Perspective." Journal of Public Health Informatics, vol. 13, no. 2, 2021.
Keesara, Sandeep, Andrea Jonas, and Kevin Schulman. "COVID-19 and Health Care’s Digital Revolution." NEJM Catalyst, 2020.
Gartner. Hype Cycle for Government Technology, 2021. Gartner Inc., 2021.
Davenport, Thomas H., and Rajeev Ronanki. "Artificial Intelligence for the Real World." Harvard Business Review, vol. 96, no. 1, 2018, pp. 108–116.
Rikhi, D. (2022). Navigating automation: A comparative study of RPA and workflow automation. International Journal of Core Engineering & Management (IJCEM), 7(4), 111–114.
Esteva, Andre, et al. "A Guide to Deep Learning in Healthcare." Nature Medicine, vol. 25, no. 1, 2019, pp. 24–29.
Jain, Anil K., et al. "Automation in Healthcare: Robotic Process Automation in Public Health Administration." Health Informatics Journal, vol. 26, no. 3, 2020, pp. 1880–1892.
Price, Waterhouse, and Coopers. 2022 Global Digital Health Survey Report. PwC Health Industries, 2022.
Cresswell, Kathrin M., Aziz Sheikh, and Zoe Morrison. "Technology-Induced Errors and Safety Concerns in Health IT Systems." BMC Medical Informatics and Decision Making, vol. 13, suppl. 1, 2013.
World Health Organization. Global Strategy on Digital Health 2020–2025. WHO, 2021.
Rikhi, D. (2023). Chat Bots for Social Services: A New Way to Reach Constituents. International Journal of Science and Research (IJSR), 12(10), 2199–2200. https://doi.org/10.21275/SR24810082300.
Office of the National Coordinator for Health Information Technology. Benefits and Barriers to RPA in U.S. Public Health Agencies. U.S. Department of Health and Human Services, 2022.
Accenture. Artificial Intelligence in Public Health: Adoption Trends and Case Studies. Accenture Public Sector Research, 2022.
