In the latest tHEORetically Speaking blog post, HealthCore’s Daniel Beachler, Safety & Epidemiology associate director, and Stephen Lanes, Safety & Epidemiology principal epidemiologist, outline how innovative technologies could be used to bolster real-world evidence in precision medicine.
While large claim databases bring “unparalleled scope,” Beachler and Lanes write, they can miss the mark on certain clinical challenges.
Deploying artificial intelligence and predictive modeling solutions, however, can play a key role in filling these gaps.
“Real-world evidence can usefully support precision medicine and faster regulatory approvals,” they write. “The use of statistical methods to develop better case-identifying algorithms enables use of claims databases to study rare diseases and other targeted indications as well as more valid outcome ascertainment for safety and effectiveness research.”
To read the full blog post on tHEORetically Speaking, HealthEconomics.Com© LLC’s official blog, click here.