Aligning Semantic Interoperability Frameworks with the FOXS Stack for FAIR Health Data.

Background: FAIR Guiding Principles present a synergy with the use cases for digital health records, in that clinical data need to be found, accessible within a range of environments, and data must interoperate between systems and subsequently reused. The use of HL7 FHIR, openEHR, IHE XDS, and SNOMED CT (FOXS) together represents a specification to create an open digital health platform for modern health care applications.

Objectives: To describe where logical FOXS components align to the European Open Science Cloud Interoperability Framework (EOSC-IF) reference architecture for semantic interoperability.

Utilising the FOXS Stack for FAIR Architected Data Access.

A FOXS stack assembles HL7 FHIR, openEHR, IHE XDS and SNOMED CT as an operational clinical data platform to build digital systems. This paper analyses its applicability for FAIR-enabled medical research based on a summary of key principles. It highlights the benefit of the blended approach to operational technology stacks for health systems, and a need for industry standard technologies to enable greater semantic coherence for primary/secondary data use.

openEHR Based Contextual Problem List.

The problem list is a key facet of the digital patient record that has historically been difficult to curate. This paper presents an implementation of a contextual problem list using openEHR. It describes the modelling approach, key model elements, and how these are assembled to underpin a Problem Oriented Medical Record.

Defining the Contextual Problem List.

The Problem Oriented Medical Record (POMR) is considered a key charting method to support clinical care. Although not uniformly represented amongst digital health systems, this paper presents a clinical model to represent multiple clinical perspectives from a single problem list. The contextual problem list model is defined according to primary diagnosis, comorbidities and problems arising from the primary condition.