Testing AI Scribes: Transcript Quality, Noise & Multi-Speaker Scenarios | Testiva

AI note-taking apps like medical scribes need rigorous, scenario-based testing. In this session from Testiva's AI Systems Testing Training, we cover AI note-taking architecture, synthetic conversation generation pipelines, automated evaluation pipelines, speaker attribution testing, noise and multi-speaker scenario testing, and transcript vs. note quality evaluation. As a hands-on exercise, we test an AI medical scribe across realistic consultation scenarios, showing you how to build scalable evaluation pipelines for real-world conversations. This is Session 5 of Testiva's 6-part AI Systems Testing Training, with a final session on AI security and red teaming. 📌 Topics: AI Note-Taking Architecture | Synthetic Conversation Generation | Speaker Attribution | Transcript Quality Evaluation | Medical AI Testing 🔗 Full training details: https://testiva.io/ai-systems-testing... 🔗 Learn more about Testiva: https://testiva.io/ #AIMedicalScribe #HealthcareAI #AITesting #NoteTakingAI #QATesting #SyntheticData