for Health IT Systems in Infectious Disease
Control and Global Health Emergencies
PEER REVIEWED PAPER
By Rishiraj Kohli
Ph.D. Candidate
Information Technology (Artificial Intelligence)
University of the Cumberlands
Kentucky, USA
Abstract
Health IT systems are essential when it comes to the monitoring, diagnosing, and responding to infectious diseases. However, the existing project management and risk assessment practices often do not provide required flexibility needed to govern the dynamic and unpredictable nature of a global health emergency. This paper introduces an AI-powered framework that integrates risk assessment and project management, enhancing Health IT systems’ resilience, accuracy, and timeliness in the control of infectious diseases. The proposed project includes machine learning, predictive analytics, and anomaly detection, which will assist in identifying potential vulnerabilities, identify and prioritize risks, and provide proactive mitigation strategies. In the area of project management, AI-enabled tools will optimize scheduling, monitor allocated resources in real-time, and become adaptable as outbreak conditions change from rapidly expanding situations. The findings of case scenarios, including models of epidemiological responses, show that the AI-powered framework significantly improves the early identified risk, reduced responsiveness delays, and optimized the use of critical resources when compared with standard approaches. The integrated model provides actionable insights for health policy-makers, health care system organizations and IT managers who want to enhance response and preparedness in the setting of global public health emergencies. Combining AI-driven risk assessment with adaptive project management, this framework represents a step toward innovatively growing robust, technology-supported public health systems.
Keywords: AI-Powered Risk Assessment; Health IT Systems; Project Management; Infectious Disease Control; Global Health Emergencies; Predictive Analytics
- Introduction
1.1 Health Information Technology in Global Health Emergencies
Over the past twenty years there have been a number of global health emergencies: SARS, H1N1, Ebola, Zika and most recently COVID-19. These situations demonstrate the importance of not only disease surveillance but rapid diagnostic systems and coordinated response. Health Information Technology (Health IT) has been a part of these situations by developing systems for the collection, integration and sharing of epidemiology data for public health purposes at local, national and global levels. Public health officials and clinicians have a variety of technology tools including electronic health records, disease registries, mobile health technology and telehealth to track epidemiology trends, communicate guidance and determine resource allocation. Health IT is the digital infrastructure of epidemic preparedness and global health systems.
1.2 Difficulties in Risk Management During Outbreaks
Health IT is critical, but is often susceptible to failure in an outbreak phase. Traditional approaches to risk assessment are primarily manual, retrospective, and static (seldom do these approaches enable future thinking), making speed and unpredictability a challenge during outbreaks. Critical problems encountered with risk assessment of outbreaks include inadequate or poor-quality data, delayed flow of information, undesired allocation of resources, and overload of systems due to demand increase. In addition, project management models of health crisis are often linear, limiting the ability to quickly prepare and adapt. Each limitation describes a problem when attempting to identify risks in advance prioritsing key actions, and implementing interventions during carry-through of outbreak conditions.
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How to cite this work: Kohli, R. (2026). AI-Powered Risk Assessment and Project Management Frameworks for Health IT Systems in Infectious Disease Control and Global Health Emergencies, PM World Journal, Vol. XV, Issue II, February. Available online at https://pmworldjournal.com/wp-content/uploads/2026/02/pmwj161-Feb2026-Kohli-AI-Powered-Risk-Assessment-PM-Framework.pdf
About the Author
Rishiraj Kohli
Kentucky, USA
Rishiraj Kohli, PMP is a Senior IT Project Manager and a Ph.D. candidate in Information Technology with a concentration in Artificial Intelligence at the University of the Cumberlands (expected 2027). He is also a certified Project Management Professional (PMP) and Certified ScrumMaster (CSM). With extensive experience leading enterprise AI, digital transformation, and compliance-driven initiatives in insurance, logistics, and healthcare, he specializes in bridging governance, risk management, and innovation. His work focuses on making AI adoption accessible and responsible for non-technical professionals while ensuring regulatory alignment. He can be contacted at rkohli5848@ucumberlands.edu or rishirajkohli@gmail.com
