Designing patient-centric healthcare systems which consider the smart integration of distributed medical data is challenging. This includes handling numerous architectural dependencies and requirements as a result of blending a variety of future generation technologies. Examples of recent approaches are proposals of a unified format for medical records to facilitate efficient healthcare provision, transparent data access control using blockchain technology, and emergent authentication mechanisms and privacy-preserving techniques for data analytics. The Serums project proposes an innovative design for a Smart Health Centre System in a distributed development effort. The goal is a comprehensive solution for integration and access of transnational medical records. This paper focuses on the architectural design workflow as a way of delivering artefacts for development iterations and contribute towards module integration planning in the software development process. Our experience shows that in data integration projects for healthcare provision, system architects and developers can profit from the designed viewpoints as artefacts to reveal integration challenges and highlight quality attributes.
Class diagrams are widely used in modelling and system design. They capture the relation between the requirements specification (problem domain) and system components (solution domain). However, constant changes to requirements and manual modelling may result in invalid software models, and potentially invalid software solutions. We propose an automated approach at the meta-model level to reason about the validity of diagrams and/or their associated requirements. This paper introduces the foundations of the formal framework TOMM, and illustrates how it can be used for validation of class diagram based models, and potentially extended for model generation and comparison.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.