Authors:
Ahmed Dridi
1
;
Salma Sassi
1
;
Richard Chbeir
2
and
Sami Faiz
3
Affiliations:
1
VPNC Lab., FSJEGJ, University of Jendouba, Jendouba, Tunisia
;
2
Universite Pau et Pays de l’Adour, E2S/UPPA, LIUPPA, EA3000, Anglet, 64600, France
;
3
ISAMM, University of Manouba, La Manouba, Tunisia
Keyword(s):
Electronic Health Records, Health Data Integration, Semantic Interoperability, FHIR, Web Semantic, IoT Data.
Abstract:
Despite the huge efforts focused on EHR development and massive many years of widespread availability of this latter, health care providers and organizations are still looking for innovative solutions to bring in all IoT data, and unstructured data into electronic health record (EHR) systems. There is a growing need to semantically integrate health-related data from different sources to support decision-making and improve the quality of care services provided. In this paper, we propose a flexible semantic integration framework for IoT, unstructured and structured healthcare data in EHR systems called SF4FI-EHR. It is built on a novel approach that applying semantic web technologies and the HL7 FHIR standard to handle integration challenges. Our experiment results from the proof-of-concept study show that the use of such approach does enhance healthcare data integration as well as overcome obstacles that prevent the optimal exploitation of these data.