Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Data Science
Towards AI·24d ago·5 min read
I Built an AI Agent for NHS Cancer Waits. Its Best Feature Is the Question It Won’t Answer.
TL;DR
Cancer referral processes lack real-time tracking, leading to uncertainty for patients. An AI agent was developed to address this issue by providing insights into wait times.
✦ Why It Matters
Engineers can design AI systems that prioritize user mental health by controlling the information provided to users.
Key Takeaways
- Explore user experience in healthcare AI applications.
- Implement natural language processing for better patient interaction.
- Consider mental health impacts in information delivery.
- Design systems that guide users to appropriate resources.
Full Summary
In the context of healthcare, particularly cancer referrals, patients often experience anxiety due to unclear wait times. Inspired by real-time tracking systems in food delivery apps, an AI agent was created to provide patients with updates on their referral status.
The agent utilizes natural language processing to engage with users while intentionally avoiding specific answers that could lead to misinformation or heightened anxiety. By focusing on what not to disclose, the agent encourages patients to seek clarity through appropriate channels.
Initial feedback indicates that this approach has improved patient satisfaction and reduced unnecessary inquiries. The implications for engineers include the potential to design AI systems that prioritize user mental well-being alongside information delivery.