Keeping a clinical list up-to-date in a local EHR current is not a trivial task. Keeping it up-to-date and accurate in a shared environment - well... Read on. It is not easy.
Anatomy of Anatomical Location
Bridging the interop chasms
Incoherence ain't all bad!
Incoherence is not ideal, but it is a realistic part of any work such as we are doing within the openEHR community. Transparency and openness can mitigate some of the incoherence. Within a transparent, governed and collaborative environment incoherence and apparent conflict can be recognised and leveraged constructively to improve the quality of archetypes.
A little dance, clap & cheer
Case Study: Clinical Engagement
Bridging the gap between the clinical experts and software engineers involved in eHealth projects is well known for being difficult and frustrating for both sides. The openEHR methodology is having great success in bringing the non-technical clinicians along with us on the clinical modelling journey.
Brazilian EHR innovation, powered by openEHR
Fractal exam findings II
The scope and diversity of clinical content in the physical examination domain is huge and complex, with different clinicians requiring different levels of detail. We have developed a base pattern for recording physical examination findings, knowing that the concept-specific detail within each model will need be added as backwardly compatible revisions of these archetypes. In this way they will evolve in an organic way to suit clinical requirements, but within a tightly governed environment.
Fractal exam findings I
The extremely complex nature of the clinician's physical examination is an obvious benchmark test for the capability of any modelling paradigm. If you can't model the clinical requirement for something as fundamental, yet frustratingly diverse as physical examination, then you need to go back to the drawing board until it works. This post outlines our journey...