Build · IQVIA

Healthcare Insights Through AI and Machine Learning

UnnamedBuildIQVIA

Healthcare organizations needed to identify the right patients and HCPs and build patient-journey insights faster and more precisely than traditional methods allowed. IQVIA applied Real World Data combined with AI/ML to address this. The page cites several quantified results from its case studies: "Doubling the number of identified product-eligible patients," "Finding 30% more patients with uncontrolled symptoms ideal for our client's treatment," "Predicting 81% of patients likely to discontinue a treatment early," and "Raising successful treatment transition by 500% for AIML-identified patients vs previous methods."

The customer is anonymised in IQVIA’s own case study — not withheld by us.

IQVIA is the largest combined real-world-data and commercial-intelligence company in healthcare — its legacy IMS prescription and claims data underpins much of the industry's analytics.

This sits in the Build stage of the AI use-case lifecycle: Named examples from the foundation-model labs and platforms pharma teams use to actually construct, train and generate the model or application.

Source

Published by IQVIA on its own site — read the original case study on iqvia.com ↗