DescriptionThe number of disasters, whether human-made or natural, has been on the rise over in the recent years; they have destroyed lives, homes, and caused widespread damage to infrastructure. The increase in disasters means there is also a higher demand for efficient response planning. Effective emergency response planning requires communication and coordination with the diverse operational systems belonging to various collaborating government agencies, non-government organizations (NGOs), and private sector entities. An essential requirement for developing an emergency response process is to establish information sharing and system-level interoperability among the operational systems of collaborating organizations. The challenge is that emergency response processes are not well-structured and do not have a well-defined outcome; they are knowledge-centric. Their workflow structure and execution may evolve dynamically based on the environmental context and the type of service or activity invoked during process execution. It is impractical to define static plans and response process workflows for every possible situation since unforeseeable situations may arise. Thus, a dynamic response requires adaptability to a changing situation as an incident evolves.
In this thesis, we develop an iterative end-to-end solution for the dynamic composition and management of an Emergency Response Management System, called Dynamic Emergency Response Processes System (DERPS). DERPS allows the Incident Commander to develop a contextualized response using ontology-based reasoning and allows its dynamic adaptation to situational changes. We also adapt and apply DERPS in the COVID-19 context. Specifically, given the pandemic’s scale and scope, home-based isolation has been considered a potential first step to reduce the spread of the virus and limit the stress on the healthcare system. However, home-based isolation needs and requirements are unique for each patient. We show how DERPS can be utilized to develop personalized patient care plans to ensure that each patient’s needs are appropriately met while they are confined to their home. We develop a prototype implementation to show the feasibility of the proposed framework and discuss challenges and issues in deploying such a system in practice.