As the field of medical artificial intelligence has matured, a critical need to standardize how machine learnings are recorded and transmitted between software systems has emerged. This paper proposes the use of FHIR to identify AI-generated learnings in data models. 

Download this whitepaper now!

Stay Connected with Diameter Health

Subscribe now for insights, company news, and more.

Related Content

What will the next decade bring for HIEs?

Federal funding under the HITECH Act was a down payment on HIE infrastructure. HIEs are now responsible for delivering strategic value to their participants for continued sustainability. To meet that challenge, our HIE partners are delivering innovative solutions built on a foundation of high-quality clinical data. Additionally, market forces are also increasingly focused on the critical role of HIEs as health data utilities and aggregators.

Read More

Wavy video thumbnail

FHIR and Data Quality

In this video, we talk about FHIR and Data Quality and how having clean information encoded in APIs is critical to empowering FHIR applications. The big question we are addressing here is how do we make FHIR a new standard for medical data interoperability successful, both today and tomorrow. Press play to learn more.

Watch Now