Should you use FHIR resources as your data storage format?
Using FHIR for data persistence is becoming a popular topic of discussion in the community. Our CTO shares his thoughts on when and why you would use FHIR as the storage format for your healthcare data.
The FHIR Guide for CTOs and technical leaders
Our CTO provides a brief technical overview of the HL7 FHIR Standard, from analysis of HL7 FHIR healthcare informational data model to potential use cases using FHIR APIs and potential limitations you should be aware of when planning to develop using FHIR standard.
FHIR and Machine Learning (ML)
Machine learning is getting adoption in healthcare because of the more sophisticated technological solutions that generate a tremendous amount of clinical data. To address this problem FHIR community developed many solutions which we discuss in this post.
Announcing the FHIRbase Dojo!
We're launching the FHIRbase Dojo, a blog dedicated to sharing the knowledge about practical applications of FHIR standard in the development of modern clinical data storage and analytics applicaitons.
FHIR Starter 2018: Recap of the first FHIR conference in Eastern Europe
The detailed recap of the first FHIR conference in Eastern Europe, which took place during the summer of 2018. One of the highlights of the conference was the appearance by Grahame Grieve with his lectures about the history of the FHIR standard and the importance of nurturing international HL7 FHIR
Using FHIR to Simplify Healthcare Application Development
FHIR standard simplifies the development process with out of the box healthcare data models, RESTful APIs and robust guidelines for integration with legacy healthcare data standards such as HL7 V2, CCD, and others.
FHIR: What's great, what isn't so good, and what it's not built to do
Over the last six years, we have consulted on the development of countless HL7 FHIR enterprise-level healthcare applications. In this post, we share the advantages of incorporating the FHIR standard in your health IT project and strategies to overcome the potential shortcomings effectively.
Moving Cardiovascular Disease Detection to the Cloud
We helped HeartSmart develop a machine learning platform that helps with cardiovascular disease detection by processing clinical data in the cloud. This post explains how the new healthcare technology is changing provider workflows, lowering costs, and improving care delivery efficiency.
FHIR Success Story: Narus Health Connects Patients, Families and Providers
Digital health company Narus Health build two FHIR applications - a cloud electronic health record and a mobile application - to support employee health. Storing their healthcare data in a backend FHIR server and building with FHIR APIs significantly cut costs and time to market.