Machine Learning: The Key to Unlocking Healthcare Data
As healthcare organizations have moved from paper charts to electronic health records…
Using AI to Solve Healthcare’s Data Problem
In our last installment, we explored the most prominent problem in healthcare…
Healthcare’s Great Data Problem
The U.S. healthcare system has a major problem—but it’s not what you…
Building Industrial-Grade NLP Algorithms That Impact Patients at Scale
Natural language processing (NLP) is becoming a powerful technique to unlock insights…
4 Things Risk Adjustment Leaders Need to Know About the 2018 CMS Final Call Letter
Recently, the Centers for Medicare & Medicaid Services (CMS) released its Final…
What America Can Learn from the U.K.’s Experience with Risk Adjustment and Population Health
We’ve discussed on the Apixio blog how critical risk adjustment is to…
How We Use Technology to Get Risk Adjustment Data Out of EHRs
This is the second in a 4-part series called Intro to Risk Adjustment Technology.…
How We Use Machine Learning to Analyze Patient Data in Medical Records
This is the third in a 4-part series called Intro to Risk Adjustment…
The Path Forward for Healthcare Data Is Deeper Insights on Patients and Doctors
At this point in time, it's fair to say that healthcare data…