The openEHR Genomics Project.

Current high-throughput sequencing technologies allow us to acquire entire genomes in a very short time and at a relatively sustainable cost, thus resulting in an increasing diffusion of genetic test capabilities, in specialized clinical laboratories and research centers. In contrast, it is still limited the impact of genomic information on clinical decisions, as an effective interpretation is a challenging task. From the technological point of view, genomic data are big in size, have a complex granular nature and strongly depend on the computational steps of the generation and processing workflows. This article introduces our work to create the openEHR Genomic Project and the set of genomic information models we developed to catch such complex structure and to preserve data provenance efficiently in a machine-readable format. The models support clinical actionability of data, by improving their quality, fostering interoperability and laying the basis for re-usability.

Peer Review of Clinical Information Models: A Web 2.0 Crowdsourced Approach.

Over the past 8 years the openEHR Clinical Model program has been developing a Web 2.0 approach and tooling to support the development, review and governance of atomic clincial information models, known as archetypes. This paper describes the background and review process, and provides a practical example where cross standards organisation collaboration resulted in jointly agreed clinical content which was subsequently represented in different implementation formalisms that were effectively semantically aligned. The discussion and conclusions highlight some of the socio-technical benefits and challenges facing organisations who seek to govern automic clinical information models in a global and collaborative online community.

National governance of archetypes in Norway.

Norwegian National ICT has implemented a national governance scheme for archetypes. The scheme uses openEHR, and is possibly the first of its kind worldwide. It introduces several new processes and methods for crowd sourcing clinician input. It has spent much of its first year establishing practical processes and recruiting clinicians, and only a few archetypes has been reviewed and approved. Some non-reusable archetypes have emerged while the governance scheme has established itself, which demonstrates the need for a centralised governance. As the mass of clinician involvement reached a critical point at the end of 2014, the rate of archetype review and approval increased.