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

Research article in edited proceedings (conference) | Peer reviewed

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.

Details about the publication

PublisherFill, Hans-Georg; van Sinderen, Marten; Maciaszek, Leszek A.
Book titleProceedings of the 17th International Conference on Software Technologies, ICSOFT 2022, Lisbon, Portugal, July 11-13, 2022 (Volume 1)
Page range319-330
Publishing companySciTePress
Place of publicationLisbon
Edition17
StatusPublished
Release year2022
Language in which the publication is writtenEnglish
ConferenceInternational Conference on Software Technologies, Lisbon, Portugal
ISBN978-989-758-588-3
DOI10.5220/0011295800003266
Link to the full texthttps://doi.org/10.5220/0011295800003266
KeywordsMedical Informatics; Clinical Decision Support System; Mobile App; Domain Specific Language; Model-driven Software Development.

Authors from the University of Münster

Dubbeldam, Rosemary
Professorship for Motion Science (Prof. Wagner)
Kuchen, Herbert
Practical Computer Science Group (PI)
Lee, Yu-Yuan
Professorship for Motion Science (Prof. Wagner)
Neugebauer, Jonathan
Practical Computer Science Group (PI)