Topic: Supporting Doctors’ Decisions with AI: An Industry Case Study
When: June 29, 2023 13:00–14:00 GMT, in person
Artificial intelligence (AI) supported clinical decision support (CDS) technologies can parse vast quantities of patient data into meaningful insights for healthcare providers. Much work is underway to determine the technical feasibility and the accuracy of AI-driven insights. Much less is known about what insights are considered useful and actionable by healthcare providers, their trust in the insights, and clinical workflow integration challenges. In this talk, I’ll discuss both an AI model and a conceptual prototype to suggest diabetes medications, and how they raised clinical and design objective tensions, and suggest implications for AI-supported clinical decision tools.
Bio: Jofish Kaye runs research teams to integrate qualitative and quantitative data, design, and prototyping to make user-driven products. He has worked at various tech and healthcare companies, and co-chaired CHI 2016. ChatGPT recently claimed he is one of the top ten “influential and well-known academics in the field of Human-Computer Interaction (HCI)”, which is unlikely to be true.