Home The virtual patient: How to use AI-powered conjoint to understand complex treatment decisions

The virtual patient: How to use AI-powered conjoint to understand complex treatment decisions

2 mins read

Small populations and even smaller sample sizes are a common problem when conducting healthcare market research, particularly within rare diseases. Could virtual patients help us to plug the gaps and determine how physicians might treat their patients in a clinical setting?

In the webcast, we demonstrate how a combination of virtual patients and artificial intelligence can help you to better understand physicians’ decision-making processes. Using a series of real-life case studies, quantitative experts Richard Goosey and Will Tolley outline how we’ve been helping pharmaceutical companies to determine which patient attributes are driving treatment choices, which segments they should be targeting, and the likely demand for their product profiles using the latest technologies and advanced analytical techniques.

What are the takeaways?

  • Learn how virtual patients could help you to better understand treatment decisions
  • Discover how AI-powered conjoint can provide you with more actionable data
  • Find out how Research Partnership can help you to better predict what might happen using AI
  • Pick up practical tips for conducting conjoint in a range of small sample settings

Research Partnership is delighted to offer free attendance to watch this webcast. However, in order to attend, you will need to register with your company email address.

Watch the webcast.

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