Historically, trust between doctors and patients has increased, especially as care delivery has become more advanced and mortality rates have declined. However, according to some studies, the recent Covid-19 crisis has been linked to failing trust in doctors and hospitals and has threatened the public’s trust in the US healthcare system.
Many healthcare experts see hope in AI and hope that AI will enable providers to reach more patients and improve health outcomes. And of course, despite some skepticism from providers, AI tools continue to spread throughout the healthcare ecosystem.
However, according to recent research on patient attitudes toward AI, providers should carefully consider how they implement these tools if they want to maintain patient trust.
Earlier this fall, Mark Polyak, president of analytics at IPSOS, and Dr. Łukasz Kowalczyk, physician at Peak Gastroenterology Associates, spoke on a panel discussion at the HIMSS AI in Healthcare Forum that explored patient perspectives and attitudes regarding artificial intelligence in healthcare. The panel’s experts said that above all, they want limpid and personalized healthcare interactions and experiences.
We recently spoke with Polyak and Kowalczyk again for a more detailed and data-driven conversation about what patients expect from AI in-house.
They highlighted up-to-date data that suggests frustration with the medical community’s inability to address endemic issues such as cancer and mental health disparities. However, they also highlighted several key areas where artificial intelligence is gaining favor with patients. (For example, what people like most about generative AI is: 24/7 availability, brisk responses and the ability to ask unlimited questions, and personalized information from the provider.)
Here’s what Polyak and Kowalczyk had to say about the study results and real-world experiences with patients and artificial intelligence.
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Discussion points:
- AI validation and social verification.
- What do patients think about the apply of AI in medical decisions?
- Purposefulness as a factor of implementation.
- Well-defined apply cases and significant impact on the populations that need AI most.
- Who are we doing artificial intelligence for, what do they want from it and in what context do they want it?
More about this episode:
How responsible AI can improve patient outcomes
Thanks to artificial intelligence, patient satisfaction is the most critical thing, says an investor from the health IT industry
Building trust in artificial intelligence in healthcare, step by step
Explanation: Thinking about the sheltered apply of AI
HIMSSCast: Where AI improves population health