Building AI systems that transform how healthcare works
25+ years architecting data-driven solutions across healthcare, clinical decision support, and enterprise AI. Translating advanced machine learning into measurable outcomes for patients, clinicians, and operations.
25 years at the intersection of AI and healing
Kiran Veernapu is an Engineering Delivery Manager and senior data architect at Intermountain Health, one of the nation's top nonprofit health systems. With over 25 years of experience, he leads AI-driven initiatives that improve clinical decision support, perioperative workflows, supply chain intelligence, and enterprise analytics.
His career began designing high-security automation systems for Indian military installations — translating defense-grade reliability into healthcare. Today, that same rigor shapes how he builds mission-critical AI platforms that clinicians and administrators depend on.
Kiran is a published author of 25+ peer-reviewed papers and book chapters spanning clinical AI, wearable health monitoring, healthcare fraud detection, and intelligent agronomy. He serves as a peer reviewer for Springer Nature, Elsevier, Wiley, and Frontiers in Medicine, IEEE Technology Conferences, and sits on the Technical Program Committee for IEEE BigData 2026 and IEEE SoutheastCon 2026.
He is an invited keynote speaker on Generative AI in Clinical Documentation and Workflow Automation and an active contributor to several international technology conferences.
Innovations that move healthcare forward
Flagship AI and data engineering initiatives delivered that can take healthcare beyond.
AI-Powered Kanban Inventory Intelligence
Leveraged Oracle Business Intelligence tools to optimize award-winning Kanban two-bin inventory model. The system integrates real-time demand signals, AI-driven replenishment forecasting, and supply usage pattern analysis across clinical units.
Clinical Decision Support Systems
Authored AI-enabled concepts that can be embedded in EHR workflows. They provid real-time risk assessment, diagnosis assistance, and treatment recommendations at the point of care — reducing adverse events and supporting evidence-based clinical decisions.
AI-Driven Employee Attrition Prediction
Assisted in building deep learning and NLP models to predict healthcare workforce attrition, enabling proactive retention strategies. Analyzed patient-outcome-linked workforce metrics to minimize turnover in high-acuity departments.
Healthcare Fraud Detection Platform
Applied deep learning models to detect insurance claim fraud patterns at scale. The system cross-references billing codes, provider networks, and temporal patterns to identify anomalies — reducing economic burden on public and private insurers.
Perioperative Inventory & Billing Intelligence
Resolved complex perioperative inventory-patient billing challenges using AI and deep learning. Automated reconciliation of surgical supply usage against patient billing, dramatically reducing underbilling and compliance risk.
AI-Enabled Telemedicine & Remote Monitoring
Authored and assisted in AI platforms integrating wearable device data streams for chronic disease management. His authorship in real-time biometric monitoring, predictive deterioration alerts design, and remote patient engagement workflows helped industry to implement the concepts.
Peer-reviewed research & scholarship
25+ published works spanning clinical AI, healthcare analytics, and intelligent systems. Available on Google Scholar and ResearchGate.
Awards & professional service
International recognition for innovation, excellence, and contributions to healthcare AI.
Professional service & committee roles
Featured in major publications
Independent coverage in major media and trade publications recognizing Kiran's contributions to healthcare AI and digital transformation.
Start a conversation
Open to speaking invitations, research collaborations, editorial opportunities, and professional dialogue in healthcare AI.
Whether you're interested in AI innovation in healthcare, exploring collaboration opportunities, or looking for a keynote speaker — reach out directly.