Today, reuse of the clinical content across organizations in primary care is very limited. This is the case despite the fact, that the accessible data could directly benefit the patient treatment or could cause indirect improvements through data extraction for management-, quality- and leadership purposes. The challenge is, that data in the primary care is characterized by big variabilities and low quality that is derived from human, organisational or technological factors.
With the implementation of Fælles Sprog III, the goal in Denmark is to align and structure the documentation on municipal level. But at the same time, it is difficult to determine which purpose for reuse of the clinical content will create the biggest value for the citizen and thus should be prioritized.
Standardized data models have been proposed as a solution that can support reuse of data in clinical information systems. On this background, a content analysis of the municipal rehabilitation and the associated FSIII classification is made. This is done to specify two alternatives for modelling a course of treatment documented in FSIII. The course is modelled in the HL7 FHIR standard.
This study presents seven generic principles for data modelling in HL7 FHIR that supports appropriate reuse of clinical content for primary or secondary purposes.