AI has the potential to solve some of healthcare’s biggest challenges, such as lowering doctor administrative burden, hastening the pace of diagnosis and treatment, and directly engaging patients across their care journeys. But AI can only do so much if physicians and consumers don’t trust it—and according to ZS’s 2024 Future of Health Report, many don’t. The surest bet to improving consumer comfort with AI is by increasing provider confidence in it, as providers are the most trusted members of the system. In this insightful discussion, our expert panelists unpack the promise of AI in the healthcare ecosystem. They look at barriers to AI’s adoption and focus on how pharma can realize its utility.
In this webinar, you will learn:
- The most promising use cases for AI in pharma, including clinical development, commercialization and patient engagement
- How healthcare stakeholders are working together to build (and maintain) physician and patient trust through instilling AI models with empathy, mitigating against bias, keeping humans in the loop and integrating AI tools into existing clinical workflows
- How pharma can leverage the potential of AI (and specifically generative AI) to increase patient trust and engagement and, ultimately, improve patient outcomes
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