Use predictive analytics and machine learning to identify providers most likely to prescribe your brand, and see ways to cut through the noise.
This client case study shows how we leveraged our artificial intelligence (AI) and machine learning (ML) capabilities to help our healthcare clients quickly identify and segment the right patients and HCPs and develop important patient journey insights with speed and accuracy.
See how you can drive commercial success in ways that were never possible before with IQVIA's leading Real World Data (RWD) portfolio, combined with our AI and ML algorithms.
Major Case Study Results:IQVIA’s AI-powered modelling helped achieved results like these::
In some cases, AI and ML can accelerate results – healthcare analytics platforms can process patient data in larger volumes, faster, and with a precision superior to any other method, improving time to insight. In other cases, AI/ML methods employed together can produce categorically different results, such as identifying patients with complex sets of conditions or even finding future patients before they are diagnosed.
Find Out How AI Can Help YouWant to see how IQVIA AI-powered modeling can dramatically accelerate your results? Ask to speak with an AI expert. You can also see other AI case studies highlighting improvements in patient segmentation and HCP identification.
Use predictive analytics and machine learning to identify providers most likely to prescribe your brand, and see ways to cut through the noise.
Ensure your stakeholders are getting the information they need, when and where they need it, to see where your product can improve outcomes.
Be proactive about growing your brand using the latest in data, analytics, and domain expertise.