Take advantage of the latest tools, techniques, and deep healthcare expertise to create scalable resources, precision insights, and actionable ideas.
In this healthcare AI case study, IQVIA's leading Real World Data (RWD) assets, artificial intelligence (AI) and machine learning (ML) algorithms provided precise patient identification leading to a 27% increase in therapy starts.
The case study shows how we leverage our renowned ML and AI capabilities to help our healthcare clients rapidly identify the right patients and HCPs, while developing important insights into the patient journey.
Case Study Highlights:
IQVIA’s AI-powered modelling helped produce results like these:
How AI and ML Can Accelerate Your Success
In some cases, how AI and ML can help advanced results is a matter of degree and speed – IQVIA’s advanced healthcare analytics platforms speed time to insight by processing patient data in volumes and with a precision beyond any other method. In other cases, AI/ML methods can produce categorically different results, such as identifying “at risk” patients for certain conditions before those conditions are diagnosed.
Accelerating Healthcare Results is What We Do
Interested in how IQVIA AI-powered modeling can dramatically accelerate your results? Ask to speak with an expert in producing AI-powered results. Or see other IQVIA AI case studies showing improvements in patient identification and healthcare provider segmentation.
We'd love to show you how AI and Machine Learning can help you find the right patients, the right HCPs, and develop patient journey insights with precision and speed.
Tell us a little about your business needs and we'll connect you with a dedicated expert who can share more about our product solutions and answer any questions you have.
Take advantage of the latest tools, techniques, and deep healthcare expertise to create scalable resources, precision insights, and actionable ideas.
Be proactive about growing your brand using the latest in data, analytics, and domain expertise.
Use predictive analytics and machine learning to identify providers most likely to prescribe your brand, and see ways to cut through the noise.