InterSystems executives argue that AI effectiveness in healthcare depends fundamentally on unified data systems. Thailand's healthcare sector faces data silos—especially outside Bangkok—that prevent interoperability. The company advocates using standardized frameworks (FHIR) to connect hospital, clinic, and lab data centrally. Real-world results show AI-powered systems can reduce physician appointment time by ~5 minutes, potentially increasing patient throughput by 2–3 per session. AI also aids medical communication by translating complex terminology into patient-friendly language. The core insight: implementing AI requires first solving data fragmentation and creating shared infrastructure—not just deploying algorithms.