eng Oriental Scientific Publishing Company Biomedical and Pharmacology Journal 0974-6242 2025-02-20 18 March Spl Edition 331 346 10.13005/bpj/3091 64386 article Susheela Vishnoi 1 Saneh Lata Yadav 2 Ashok Kumar Saini 1 Prashant Vats 1 Department of CSE, Manipal University Jaipur, Jaipur, Rajasthan, India Department of CSE, K.R. Mangalam University, Gurugram, Haryana, India This paper investigates the transformative impacts of e-governance strategies on the Internet of Medical Things (IOMT) and IOMT-based medical system administration in the context of the COVID-19 pandemic within the Indian Subcontinent, leveraging applications of Artificial Intelligence and Machine Learning (AIML). As the pandemic continues to strain healthcare systems worldwide, effective utilization of digital technologies becomes paramount in ensuring efficient healthcare delivery. E-governance initiatives play a crucial role in facilitating the integration of IOMT devices and AIML algorithms into medical systems, thereby enhancing healthcare accessibility, quality, and responsiveness during crises. This study examines the implementation and outcomes of e-governance measures in leveraging IOMT technologies and AIML applications to address pandemic-related challenges in the Indian Subcontinent's healthcare sector. Through a comprehensive analysis, it elucidates the synergistic relationship between e-governance strategies, IOMT adoption, and AIML utilization, highlighting their collective contributions to strengthening medical system administration and mitigating the impact of the pandemic on public health. E-Governance began by offering citizens e-services that help them deal with the challenges of technological advances, and since then has extended to include consumer networking, demographic forecasting, financial management, and e-healthcare operations. E-governance is defined as the provision of social programs via the use of information systems, which indicates the amount, and sharing of information, the implementation of innumerable electronic systems, and subtypes between both the government and its constituents, the business and government environments, and government and state organizations. Using SPSS tools to collect data from 433 employees in India's tourist industry, the links mentioned above were verified. The data reveal that the information governance approach does have a significant impact on health catastrophes, particularly joblessness negatively forecasting emergencies. As per the data, parental involvement reduced the link between E-Governance programs and rising unemployment. The study's outcomes backed up this theory, indicating that employees with strong family support are less likely to be unemployed than those with a lower degree of interpersonal assistance. https://biomedpharmajournal.org/vol18marchspledition/transforming-healthcare-delivery-assessing-the-role-of-e-governance-strategies-in-iomt-and-aiml-based-medical-system-administration-during-the-pandemic-in-the-indian-subcontinent/ Artificial Intelligence Digital Transformation E-Governance Good Health Healthcare Administration Healthcare Technology Indian Subcontinent Internet of Medical Things (IoMT) Machine Learning Pandemic