Respiratory conditions make up one of the leading disease categories worldwide. As respiratory treatment stakeholders have become increasingly focussed on establishing product effectiveness in the real world, developing rapid and clear insights into treatment outcomes, patient journeys, and HCP caseloads, are all crucial parts of the real-world puzzle.
These case studies show how IQVIA used Real World Data (RWD), and our AI and Machine Language (ML) expertise to identify key patient and physician groups more rapidly and accurately, and to shed light on key steps in the patient journey.
The IQVIA case studies outline how AI and ML algorithms helped our clients improve patient outcomes and increase treatment transition rates. See how you can increase the efficiency of your research investments and accelerating your Impact on respiratory patient conditions.
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.
Take advantage of the latest tools, techniques, and deep healthcare expertise to create scalable resources, precision insights, and actionable ideas.