Digital transformation of the healthcare organizations: The resilience of developing countries post-Covid-19 : How digital transformation builds stronger resilience abilities for healthcare organizations in developing countries in the post-COVID-19 outbreak?

Background: Covid-19 is disrupting the healthcare industry. Policies and regulatory changes in general necessitate adaptation from the healthcare industry, particularly those affecting the payment system, clients, and the environment. On the other hand, as policymakers around the world look to digital transformation to make healthcare systems more resilient, affordable, and accessible, a rare and remarkable opportunity for the information systems research community to leverage its in-depth knowledge to both advance theory and influence practice and policy has emerged. Problem discussion: The changes brought by Covid necessitate resilience in the healthcare industry, which most countries are not yet prepared for, as it will necessitate a large number of workers and effective policies for the recovery process in the post of Covid 19. Crucially, many people lack the resources to scale up health interventions as well as the financial resources to implement support measures and improve resilience. This research will answer the following considerable question, how can countries now build more resilient healthcare systems capable of withstanding pandemics? What role can technology play in these efforts? Purpose: The thesis will aim to discover how the healthcare industry in developing countries will be resilient as they digitize their operations in the post of Covid disruption situations. The finding in this research will be identified by the combination of the HIT framework following four major sectors of health information technology: financial, functional, user, and environmental, and the resilience capabilities such as anticipating, monitoring, responding, and learning. The result of the finding will be involved in chapter 4. Method: In this paper, a qualitative method was used to answer the research question. Inductive and deductive techniques were used to expand the research by moving from individual data to broader generalizations and ideas. The detail of all the methodology steps will be explained in chapter 3. ...