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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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Erstellt am: 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
S.547-551
International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) <15, 2019, Barcelona>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16SV7482; EPItect
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISST ()
Epilepsy; Seizures; EPItect; Wearables; Mobile Application; HL7 FHIR

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-595858.html