Development and Usability Assessment of a Semantically Validated Guideline-Based Patient-Oriented Gestational Diabetes Mobile App

Abstract

Studies have shown the benefits of following Clinical Practice Guidelines (CPGs) in the daily practice of medicine. Nevertheless, the lack of digitalization of these guidelines makes their update and reliability to be a challenge. With the aim of overcoming these issues, Computer Interpretable Guidelines (CIGs) have been promoted to use in Clinical Decision Support Systems (CDSS). Moreover, the implementation of Semantic Web Technologies (SWTs) to formalize the guideline concepts is a powerful method to promote the standardization and interoperability of these systems. In this paper, the architecture of a CIG-based and semantically validated mobile CDSS is introduced. For that, the development of a patient-oriented mobile application for the management of gestational diabetes is described, and the design and results of its usability assessment are presented. This validation was carried out following the System Usability Scale (SUS) with some additional measurements, and results showed excellent usability scores.