The future of healthcare lies in automation and AI-driven solutions, with virtual health assistants offering efficiency and cost reduction. Inoxoft’s step-by-step guide explains how to develop a smart health assistant that streamlines patient interaction, automates administrative tasks, and enhances accessibility.
Key Insights:
- Cost Savings: AI could save up to $150 billion annually in the U.S. healthcare system.
- Development Approach: Follow eight steps, from gathering requirements to deploying AI models, to build a secure, scalable assistant.
- Real-World Success: Our custom virtual health assistant reduced client expenses by $500,000 per year.
- Use Cases: Google’s LYNA achieves 99% accuracy in detecting metastatic cancer, and Sense.ly’s Molly cuts hospital readmissions by 25%.
Unlock the full guide to building a virtual health assistant and explore how AI chatbots reshape the future of healthcare.
