Interoperability within Healthcare Systems through FHIR, Artificial Intelligence and Cloud Integration (Published)
One of the main challenges for healthcare interoperability is defining common standards for the structured content of healthcare data and the transport of this data between different systems. The purpose of this paper is to enable the exchange of these data, with a focus on the FHIR (Fast Healthcare Interoperability Resources) protocol which created the HL7 (Health Level Seven International) standard, a framework that has become widely adopted by all stakeholders around the world to determine the content of this data and the way they want to share it and to identify the potential of the integration of Artificial Intelligence with the HL7 FHIR standart. The integration of this data was one of the main questions raised in the project “Integration of AI in Advancing Interdisciplinary Research at the University of Tirana”.
Keywords: Artificial Intelligence, FHIR, HL7, data integration, interdisciplinary research, interoperability