Usability Engineering
Introduction to Human Factors Engineering (2nd Edition)
Introduction to Human Factors Engineering (2nd Edition)
Cognitive and usability engineering methods for the evaluation of clinical information systems
Journal of Biomedical Informatics
Using qualitative studies to improve the usability of an EMR
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
Human-Centered Software Engineering - Integrating Usability in the Development Process (Human-Computer Interaction Series)
Automatic generation of textual summaries from neonatal intensive care data
Artificial Intelligence
An Automated Computerized Auscultation and Diagnostic System for Pulmonary Diseases
Journal of Medical Systems
A unified multimedia database system to support telemedicine
IEEE Transactions on Information Technology in Biomedicine
Hi-index | 0.00 |
Objectives: The development of effective graphical user interfaces (GUIs) has been in an emergent demand in healthcare technologies, for assessing, managing and storing patients' clinical data. Nevertheless, specifically for respiratory care there is a lack of tools to produce a multimedia database, where the main respiratory clinical data can be available in a single repository. Therefore, this study reports on the development of a usable application to collect, organise and store respiratory-related data in a single multimedia database. Methods: A GUI, named RIBS@UA, organised in a multilayer of windows was developed in MATLAB and evaluated. The evaluation consisted of usability inspection (by two respiratory health professionals and two system designers during the development of the prototype) and usability testing (by seven physiotherapists). Results: The users reported on the utility of the new application and its potential to be used in clinical/research settings. It was also stated that RIBS@UA facilitates diagnosis/assessment and contributes to the implementation of standardised interventions and treatment procedures. Nevertheless, some drawbacks were identified and suggestions were given to improve the content of specific features in the physiotherapy sessions window. Conclusions: RIBS@UA interface is an innovative application to collect, store and organise the main respiratory-related data, in a single multimedia database. Nevertheless, further improvements are still recommended before the final implementation of RIBS@UA.