Nexla Simplifies Working with Healthcare Data
Healthcare data is more abundant today than ever. Its volume continues to increase exponentially, facilitating…
By Kim Helms
Healthcare
Healthcare organizations integrate clinical, claims, and operational data across systems like EHRs and FHIR APIs, where accuracy and compliance with regulations like HIPAA are non-negotiable.
Nexla connects EHR, claims, and clinical data sources, including FHIR-based systems, while maintaining the governance and compliance controls healthcare data requires.
Implementing Advanced Healthcare IT with Nexla, FHIR, and SMART on FHIR
Exchanging data in healthcare systems has historically required the generation, transmission, and processing of unique…
By Kim Helms
Work with FHIR API Health Data Seamlessly Using Nexla
FHIR (Fast Healthcare Interoperability Resources) is a healthcare industry-wide protocol for exchanging and storing healthcare information. But how can people work with FHIR API health data easily, everyday? Find out how Nexla enables working with FHIR health data.
Five Data Management Predictions (Observations) from the Trenches
Welcome 2021! Mankind wasn’t prepared for 2020! Not from a healthcare perspective, education perspective, or…
Six steps to Automated Data Integration from Paper Documents
Even as the world and its data goes digital, paper documents continue to be an…
Nexla Named a Representative Vendor in Gartner’s 2018 Market Guide for Event Stream Processing
Data Operations Platform Recognized in Market Guide for Event Stream Processing Nexla has been recognized…
Nexla Year in Review: Data is Eating the World
2017 was the year when AI came into the mainstream of computing and has now…
Data Engineers: The New Kings and Queens of Artificial Intelligence
Data operations is the pick axe in the AI gold rush. Without the right data and the equipment to mine it, the promise of AI for many companies will be left unrealized. This is especially true for companies in finance, retail, healthcare, and more where you create value with the algorithms and analysis you do on data and not how you access and manage it. These companies would be wise to work with trusted software partners to build up their data operations teams. The data challenges that come with AI can’t be solved by more job listings. We’re going to need real technology to help our data engineering kings and queens process the next 180 zettabytes.
The Data Layer Your AI Is Missing
Connect, contextualize, and govern enterprise
data across 1000+ systems in real time.
