The risks of false positives in healthcare data linkage
Part 2: Understanding false positives in patient data matching [Part 2] ofMatching Accuracy Metrics
A better way to measure healthcare costs in closed claims data This is the second post in our four-part taXonomy X blog series (part 1 here), and here we’ll discuss one of the most common pain points in closed claims analytics: costs. Specifically,...
Part 2: Understanding false positives in patient data matching [Part 2] ofMatching Accuracy Metrics
Part 1: Matching accuracy metrics for patient tokenization in healthcare [Part 1] ofMatching...
Data collection — from your credit score to your current location to your go-to pizza delivery...
Why social determinants of health are necessary for the complete patient journey. Most...
2019 is frequently described as a “turning point” for consumer data privacy. If this manifesto...
By: John Cappiello, HealthVerity CTO The healthcare landscape is changing and the need for an...
A better way to measure healthcare costs in closed claims data This is the second post in our four-part taXonomy X blog series (part 1 here), and here we’ll discuss one of the most common pain points in closed claims analytics: costs. Specifically, w...