The COVID-19 pandemic, a transformative event in modern society, has disrupted routine, work, behavior, and human relationships. Organizations, amidst the chaos, have innovatively adapted to the evolving situation. However, many countries were unprepared for the magnitude of the challenge, revealing the fragility of health responses due to inadequate leadership, insufficient resources, and poor information system integration. Structural changes in health systems are imperative, particularly in leadership, governance, human resources, financing, information systems, technology, and health service provision. This research utilizes the Technological Roadmapping method to analyze the health sector, focusing on public health, drawing on articles from SCOPUS and PubMed databases, and creating a roadmap extending to 2050. The research presents three long-term scenarios based on the literature-derived roadmap and explores various alternatives, including integrated care, telemedicine, Big Data utilization, nanotechnology, and Big Tech’s AI services. The results underscore the anticipation of post-pandemic public health with high expectations, emphasizing the importance of integrating health history access, encouraging self-care, and leveraging technology for streamlined treatment. Practical implications include insights for decision makers and stakeholders to inform strategic planning and adapt to evolving industry demands, recognizing the significance of preventive services and the humanizing potential of technology.

Context: Business process modeling is widely used to increase the competitive advantage of organizations and Business Process Model and Notation (BPMN) is the standard language for modeling such processes. However, it is often extended to handle domain-specific processes or enhance the language itself. Problem: Applications of process-oriented approaches have reached new challenging, knowledge-intensive scenarios, such as healthcare, case management, and others. For these scenarios, it is common to observe functions involving collaborative resources and processes that are little structured, which do not have the same level of predictability as a structured work routine. This fact led to the definition of a new class of business processes, Knowledge-Intensive Processes (KIP). Solution: This paper investigates which requirements related to the modeling of KIP are met by the standard BPMN language and its extensions proposed in the literature. IS Theory: The paper explores the interaction between Structured Process Modeling Theory and Organizational Information Processing Theory applied to the context of business process management, especially related to knowledge-intensive processes in organizations. Method: We performed an analysis of the adherence of standard BPMN to the KIP modeling requirements and a systematic literature review identifying BPMN extensions, analyzing these proposals regarding their adherence to the same requirements. Summarization of Results: Twelve BPMN extensions were analyzed and compared according to a set of criteria. These extensions were obtained from the SCOPUS digital library and guided the conduct of the research. Contributions and Impact in the IS area: This paper is the first evaluation of BPMN and its extensions regarding KIP requirements. Moreover, we identified the main trends in the development of BPMN extensions related to KIP and some opportunities for future researches.