Modelagem de processos de negócios para a interoperabilidade de dados de saúde na linha de cuidado do câncer de mama

Abstract

The healthcare sector has been following the global trend of adopting digital technologies, driven by the need for greater efficiency, systems integration, and improved quality of patient care. However, one of the challenges mentioned in the literature is the lack of interoperability of healthcare data. Business process modeling (BPM) is a tool widely used in several industrial sectors designed to manage and improve processes, allowing a global view of the process as it is executed. Although there are some empirical studies that use BPM to develop healthcare data interoperability, there is still no discussion about its direct impact. Given this context, this study aims to evaluate how BPM can assist in the development of data interoperability with a focus on the breast cancer care line, specifically in the disease screening phase. To understand and verify the current state of the subject, a systematic review of the literature is conducted. Next, a case study is conducted to evaluate a process model, developed with Business Process Model and Notation (BPMN) notation, which describes the breast cancer care line in the screening phase in a city in the interior of Rio Grande do Sul, with the health data collected throughout this process mapped in the model. The data collected to implement the model are obtained through focus group techniques and document analysis. The evaluation of the model is done by collecting data obtained through semi-structured interviews conducted with experts in the field. The study shows that the tool plays a significant role in promoting the interoperability of health data, with emphasis on the technical and operational aspects, as well as improving communication between the teams involved. The integration between the process view and the data view emerges as an essential contribution, reinforcing the importance of replicating this approach in different scenarios to expand the analyses available in the literature.