Abhinav is a distinguished expert in healthcare interoperability and clinical decision support systems, with a proven track record of leading CDS Hooks implementations across diverse healthcare environments. With deep knowledge of EHR integration and standards like HL7 and FHIR, he brings both strategic vision and hands-on technical expertise to complex healthcare projects.
Abhinav’s passion for leveraging AI to optimize clinical workflows has made him a recognized leader in the field. His ability to align cutting-edge technology with practical care delivery challenges has consistently resulted in streamlined operations, enhanced decision-making, and improved patient outcomes.
📌 Healthcare Professionals and Administrators: Looking to enhance clinical workflows and improve patient care using AI-powered CDS solutions.
📌 Decision-makers: CIOs, CTOs, Clinical Directors, and Admins exploring scalable, intelligent solutions for real-time clinical decision-making.
📌 Digital Health Startups: Innovators building EHR-integrated tools and seeking best practices for CDS Hooks implementation.
📌 Health IT Professionals: Focused on overcoming interoperability challenges and integrating CDS Hooks within Epic, Cerner, and other EHRs.
Participants can expect an exploration of the following topics:
✅ Understanding CDS Hooks: Learn how CDS Hooks work within EHR systems like Epic and Cerner to trigger clinical decision support in real time.
✅ AI-Powered CDS Implementation: Discover how AI agents streamline and enhance CDS workflows, enabling faster, smarter clinical decisions.
✅ Overcoming Integration Challenges: Explore the hurdles in integrating CDS Hooks into existing EHR systems and how to solve them using modern interoperability strategies.
✅ Real-World Use Cases: See how hospitals are leveraging AI-driven CDS Hooks to reduce clinical errors, alert fatigue, and improve care outcomes.
CDS Hooks are standardized APIs that allow clinical decision support to be triggered in real time within EHR workflows. They enhance the clinical experience by offering timely, context-aware suggestions or alerts.
AI enables smarter, faster decision-making by reducing noise in alerts, prioritizing key actions, and identifying risks earlier. This leads to more efficient workflows and improved patient outcomes.
Any healthcare organization looking to modernize clinical decision-making, reduce clinician burnout, and improve care accuracy will benefit—especially those using Epic, Cerner, or similar EHR platforms.
No. While we’ll explore technical concepts, the session is designed for both technical and non-technical professionals involved in healthcare, IT, product, or operations.
Yes! Register now, and we’ll send you the full session recording after the event—even if you miss the live webinar.
