ZenTechAI

  The rise of generative AI has opened doors for chatbots in healthcare, but designing one for medical use cases requires navigating a maze of technical, ethical, and regulatory challenges. Let’s break down how to architect a  compliant, multi-purpose healthcare chatbot system  for three critical scenarios: FAQ and Knowledge Base Queries General Health Information Delivery Symptom-Based Clinical Triage Why One Chatbot Can’t Do It All While tempting to consolidate, merging these use cases into a single chatbot introduces significant risks: Regulatory Overload : Diagnosis (Use Case 3) demands adherence to FDA/CE/MDR guidelines, while FAQs (Use Case 1) require only GDPR/HIPAA data privacy. Accuracy vs. Liability : A chatbot providing casual health advice (Use Case 2) can’t share logic with one offering diagnoses (Use Case 3) without risking harmful hallucinations. Domain-Specific Workflows : Each use case needs distinct guardrails: FAQ Chatbots : Focus on semantic search and...