A medical information system for personalized rehabilitation after ankle inversion trauma.

Neugebauer, Jonathan; Dubbeldam, Rosemary; Pham, My Linh; Beser, Lokman; Gerlach, Luka; Lee, Yu Yuan; Kuchen, Herbert


Abstract

We have developed FEAL, a mobile app and a corresponding server component supporting personalized rehabilitation after an ankle inversion trauma. In order to enable the maintenance of the essential parts of the overall system by health professionals, an easy to understand domain specific language (DSL) has been designed enabling them to adapt the questionnaires which are essential parts of the app. For the same reason, the included medical knowledge is not hard coded in a programming language but provided by rules of a business rules management system. A DSL specification is automatically transformed by a correspondingly developed generator to platform-independent React Native code such that the resulting app can be used on the relevant platforms iOS and Android.

Keywords
Medical Informatics; Clinical Decision Support System; Mobile App; Domain Specific Language; Model-driven Software Development.



Publication type
Research article in proceedings (conference)

Peer reviewed
Yes

Publication status
Published

Year
2022

Conference
International Conference on Software Technologies

Venue
Lisbon

Volume
1

Book title
Proceedings of the 17th International Conference on Software Technologies, ICSOFT 2022, Lisbon, Portugal, July 11-13, 2022

Editor
Fill, Hans-Georg; van Sinderen, Marten; Maciaszek, Leszek A.

Start page
319

End page
330

Edition
17

Publisher
SciTePress

Place
Lisbon

Language
English

ISBN
978-989-758-588-3

DOI

Full text