Interoperability analysis in critical collaborative processes: an application to the healthcare sector for complex patient assistance

Abstract

Developing interoperability is a major issue in collaborative processes. For instance, interoperability is crucial for collaborative processes focused on crisis or healthcare-system management. Partners have to interact trustingly and efficiently. They need to share data, knowledge, best practices, resources and skills in terms of confidence, quality of exchanges and response times. They also need to be sure of the relevance and quality of their roles and actions throughout the process to achieve a desired outcome (crisis resolution, appropriate medical surgery, etc.) In this context, it is worthwhile trying to detect and solve interoperability problems prior to the execution of the process. This work focuses on interoperability in healthcare processes for complex patient assistance (diabetes, cardiovascular accidents, etc.), where different actors need to interoperate. The purpose is to show an approach for highlighting potential interoperability problems that can occur in a given process, with the support of formal verification techniques.

Interoperability Assessment of Emergency Department Processes Based on Multicriteria Decision-Making Methods

“…These concerns do not contemplate the human element but focus on the structural and organizational ones. However, HC treatment outcomes tightly depend on human variants facing the need for multidisciplinarity: the variability of each case, the individuality of each patient, and the physicians' individual experiences influence medical decisions [2]. Following this, [23] proposed another model, which divides interoperability into human, non-human, and heterogeneous systems, and then evaluates overall enterprise interoperability.…”

“…Such decision-making also requires precise interaction and collaboration between people and departments. Thus, the amount and quality of information exchanged and the criticality of the decisions guided by them make hospitals some of the most complex organizations in modern society (1,2). To ensure the best outcomes for patient treatments, hospitals have to meet the ongoing need of reducing unpredictability, variability, and unexpected outcomes and maximizing the quality and efficiency of their processes [1,3].…”