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


Zusammenfassung

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.

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



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2022

Konferenz
International Conference on Software Technologies

Konferenzort
Lisbon

Band
1

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

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

Erste Seite
319

Letzte Seite
330

Auflage
17

Verlag
SciTePress

Ort
Lisbon

Sprache
Englisch

ISBN
978-989-758-588-3

DOI

Gesamter Text