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.
Zitieren als
Neugebauer, J., Dubbeldam, R., Pham, M. L., Beser, L., Gerlach, L., Lee, Y. Y., & Kuchen, H. (2022). A medical information system for personalized rehabilitation after ankle inversion trauma. In Fill, H.-G., van Sinderen, M., & Maciaszek, L. A. (Eds.),
Proceedings of the 17th International Conference on Software Technologies, ICSOFT 2022, Lisbon, Portugal, July 11-13, 2022 (17, pp. 319–330). Lisbon: SciTePress.
Details
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
