John Snow Labs 59d ago

Clinical documentation AI is one of the biggest bottlenecks in healthcare — not because models are плохие, but because data pipelines and workflows break in production. This session shows what actually works in real clinical settings — and why most systems fail after deployment. ⏱️ Key moments: 00:00 Why clinical documentation AI fails in practice 02:10 The real bottleneck: data pipelines and workflows 04:30 What breaks in production (errors, missing evidence, drift) 08:00 From notes to action: building a production pipeline 12:30 What actually works: structure, evidence, clinician trust Dhini Nas (Founder & CEO, ParaDocs Health) breaks down how clinical documentation AI behaves in practice — across primary care and post-acute workflows — and what it takes to move from demo to production. Most teams focus on model quality. In reality, failures come from fragmented data, missing context, and workflows that don’t match clinical reality. This talk walks through how to build systems clinicians actually trust — from unstructured notes to evidence-backed, auditable outputs. 📌 Applied Healthcare AI Summit 2026 — real-world healthcare AI, from pilots to production systems. #HealthcareAI #ClinicalAI #MedicalAI #ClinicalDocumentation #AIinHealthcare #DigitalHealth #HealthTech #AIGovernance #RealWorldEvidence #ClinicalWorkflows #AIinProduction #EHR #DataQuality #HealthcareData