Orzechowski suggests that trust in AI can be built gradually, with AI systems initially assisting physicians in administrative tasks and providing valuable insights. Over time, as trust in the technology grows, these systems can take on more responsibilities. He concludes by stating that building trust in healthcare AI is a complex but achievable process, and it will be accomplished through validation, transparency, gradual implementation, and maintaining the human touch.
Key takeaways:
- Transparency and validation are crucial to building trust in AI in healthcare, with 71% of respondents in a McKinsey report stating that knowing a company’s AI policy was important before making a purchase.
- AI systems in healthcare need to be subjected to high regulatory scrutiny and provide consistently accurate and explainable results.
- Building trust in AI should be a gradual process, with AI-based systems initially assisting physicians and gradually taking on more responsibilities as trust grows.
- There is concern that AI in healthcare could damage the patient-provider relationship, highlighting the need for AI to maintain human qualities such as compassion, empathy and active listening.