Healthcare Insights Through AI and Machine Learning
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.
Published by IQVIA on its own site — read the original case study on iqvia.com ↗
Related use cases
- 01Integrated PV Tech and Services Solution - Case Study
- 02Overcoming the Challenges of Managing Regulatory Information
- 03Vigilance Detect Case Study Brochure
- 04Complex Workflow and Data Collection through IQVIA Research Management Platform
- 05Integrated Search Content Strategy
- 06Advanced Patient Finding & Disease Modeling