Diagnosis
A Training Tool to support the management and diagnosis of Sjögren’s syndrome
C. Chatzaki1, A. Goules2, S. De Vita3, A. Zabotti4, C. Delporte5, M.S. Soyfoo6, F. Barone7, B.A. Fisher8, P. Brito-Zerón9, E. Bartoloni10, C.P. Mavragani11, D.I. Fotiadis12, A.G. Tzioufas13, M. Tsiknakis14
- Biomedical Informatics & eHealth Laboratory, Department of Electrical and Computer Engineering, School of Engineering, Hellenic Mediterranean University, Crete, Greece. chatzaki.roula@gmail.com
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece.
- Department of Medical and Biological Sciences, Rheumatology Clinic, University Hospital Santa Maria della Misericordia, Udine, Italy.
- Department of Medical and Biological Sciences, Rheumatology Clinic, University Hospital Santa Maria della Misericordia, Udine, Italy.
- Laboratory of Pathophysiological and Nutritional Biochemistry, Université Libre de Bruxelles, Brussels, Belgium.
- Department of Rheumatology and Physical Medicine, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium.
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, and National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
- Autoimmune Diseases Unit, Department of Medicine, Hospital CIMA- Sanitas, Barcelona, Spain.
- Rheumatology Unit, Department of Medicine, University of Perugia, Italy.
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece.
- Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Greece.
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Greece.
- Biomedical Informatics & eHealth Laboratory, Department of Electrical and Computer Engineering, School of Engineering, Hellenic Mediterranean University, Crete, and Computational BioMedicine Laboratory (CBML), Institute of Computer Science (ICS), Foundation for Research and Technology Hellas (FORTH), Greece.
CER13779
2020 Vol.38, N°4 ,Suppl.126
PI 0174, PF 0179
Diagnosis
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PMID: 33095144 [PubMed]
Received: 03/07/2020
Accepted : 27/07/2020
In Press: 23/10/2020
Published: 23/10/2020
Abstract
OBJECTIVES:
The objective of this work is to present a Training Tool designed to support healthcare professionals involved in the diagnosis and management of Sjögren’s syndrome.
METHODS:
The Training Tool aims to fulfil the gap of targeted education by providing a structured protocol of training including state of the art guidelines and practices. For the development of the Training Tool, latest relevant technologies have been used to assure efficiency and usability. Core functionalities include training by a series of multimedia courses, testing during the learning process, and profiling for monitoring the progress. An iterative requirement analysis process was established involving a large number of clinical experts, with the objective to identify user’s training needs.
RESULTS:
Comprehensive usability evaluation was performed by applying, an Unmoderated Remote Usability Test resulting to 97.2% Success Rate; and the well-established System Usability Scale, reaching a score of 90.4 which classifies the Training Tool as “A” graded-excellent.
CONCLUSIONS:
The Training Tool offers open-online training of healthcare professionals involved in the diagnosis and management of Sjögren’s syndrome, using a well-designed training protocol in highly usable manner. To our knowledge, this is the first such tool for Sjögren’s syndrome.
