Powerful Data Logistic Solutions for Health Plans
From Awareness to Action: Championing Patient Data Access for Improved Outcomes
Linking Specialty Pharmacy Data for Commercial Success: The New World of Commercial Analytics
How to Find and Connect the Right Health Data for Stronger Predictive Analytics
Matching Patients Across Healthcare Databases
Datavant Match: Compliant ML Identity Resolution
TEFCA: What’s Next for Healthcare Interoperability and Information Exchange
Calming Risk Adjustment's Rough "C"s: Capturing, Coding, Cross Checking & Complying
Are You Ready to Beat Denials? Let’s Talk About How You Can!
Healthjump explores where we are now with interoperability in healthcare and why the transition to data liquidity is so slow.
Interoperability to Data Liquidity: The Blockbuster to Netflix Analogy
Achieving interoperable EHR integrations presents challenges. Here are the top 5 challenges with interoperability in healthcare and how to solve them.
Top 5 Challenges with Interoperability in Healthcare
Healthjump works side-by-side with organizations to help manage the enormous influx of COVID-19 data. Learn about how Healthjump has provided support.
Healthjump's Data Management Assists COVID-19 Registries & Research
Read the latest details on our product features and enhancements
Healthjump Feature Release Notes - Q1 2019
On the surface, standards in data seem great to organize and categorize information, but the idea is flawed and headed toward extinction.
Standards Are Great, But They Are At Risk Of Becoming Extinct
It's time to build a link to innovation. By focusing on understanding EHR data healthcare providers often are unable to incorporate machine learning.
Machine Learning And The Health Data That Educates
