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Use of HL7 FHIR to structure data in epilepsy self-management applications

: Houta, Salima; Ameler, Tim; Surges, Rainer

Postprint urn:nbn:de:0011-n-5958584 (252 KByte PDF)
MD5 Fingerprint: 494d44cd1cf2eb4030b9ab158194337a
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Created on: 22.7.2020

Institute of Electrical and Electronics Engineers -IEEE-:
International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2019) : Barcelona, Spain 21-23 October 2019
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-3316-4
ISBN: 978-1-7281-3317-1
ISBN: 978-1-7281-3315-7
International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) <15, 2019, Barcelona>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16SV7482; EPItect
Conference Paper, Electronic Publication
Fraunhofer ISST ()
Epilepsy; Seizures; EPItect; Wearables; Mobile Application; HL7 FHIR

The expansion of health infrastructure to support the networking of actors in the healthcare system is rapidly growing and is forced by law in several nations. The solutions are based on international standards to ensure interoperability of existing and new health applications and future viability. In the EPItect project, a telemedicine infrastructure for epilepsy care was developed. This paper presents part of the conceptual work and focuses on the structural and semantic standardization of epilepsy data based on the international standard HL7 FHIR. The main contribution of this work is an implementation guide for the exchange of epilepsy related data between epilepsy self-management applications and health infrastructures.