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HL7's Fast Healthcare Interoperability Resources (FHIR) standard is designedto provide a consistent way in which to represent and exchange healthcare data,such as electronic health records (EHRs). SMART--on--FHIR (SoF) technology usesthis standard to augment existing healthcare data systems with a standard FHIRinterface. While this is an important goal, little attention has been paid todeveloping mechanisms that convert EHR data structured using proprietary schemato the FHIR standard, in order to be served by such an interface. In thispaper, a formal process is proposed that both identifies a set of FHIRresources that best capture the elements of an EHR, and transitions thecontents of that EHR to FHIR, with a view to supporting the operation of SoFcontainers, and the wider interoperability of health records with the FHIRstandard. This process relies on a number of techniques that enable us tounderstand when two terms are equivalent, in particular a set of similaritymetrics, which are combined along with a series of parameters in order toenable the approach to be tuned to the different EHR standards encountered.Thus, when realised in software, the translation process is semi-autonomous,requiring only the specification of these parameters before performing anarbitrary number of future conversions. The approach is demonstrated byutilising it as part of the CONSULT project, a wider decision support systemthat aims to provide intelligent decision support for stroke patients.

A semi-autonomous approach to connecting proprietary EHR standards to FHIR