Case Study: LLMs in Healthcare
You are Alex Jensen, Medical Affairs Manager at Sotelab Pharmaceuticals. Your colleague Marie, who leads the UroScan project, has just been rushed to hospital for emergency surgery. She has forwarded you an urgent situation: a women’s health advocacy network is threatening to go public tomorrow morning with claims about gender bias in UroScan, Sotelab Pharmaceuticals’s new AI-powered bladder cancer diagnostic support tool.
UroScan analyzes CT urography scans to assist radiologists in bladder cancer diagnosis. Initial reports showed promising accuracy rates, but concerning disparities have emerged.
You have received:
- An email chain containing discussions between various stakeholders over the past two weeks
- The UroScan Clinical Validation & Implementation Guidelines document
You have until end of day to:
- Understand the technical situation
- Verify the validation process
- Prepare appropriate communications
In this exercise, you’ll use MyGPT to help you efficiently handle this time-sensitive situation. Work with your group to complete each task, discussing your approach and results.
Important Note
Remember that while MyGPT can help you process information quickly, always verify critical information, especially in high-stakes situations involving AI ethics and healthcare equality.