From Image to Insight: Clinical Edge AI in Practice

Why It Matters

Edge AI that reliably integrates into clinical workflows can dramatically boost provider productivity and patient access, while mitigating safety and regulatory risks.

Key Takeaways

• Heidi Health’s AI scribe saves clinicians two hours daily
• Heidi Calls boosts new patient intake by up to 20%
• Imaging AI reduces radiologists’ workload by over 40%
• 950 AI/ML tools submitted to FDA highlight regulatory surge
• Edge vs. cloud deployment hinges on bandwidth and latency constraints

Summary

The panel at HIMSS explored how clinical edge AI is moving from hype to real‑world impact. Leaders from Heidi Health, Nvidia, Dell, and healthcare advisory firms discussed concrete deployments that improve clinician efficiency, patient access, and diagnostic accuracy.

Heidi Health showcased two recent products: an ambient scribe that transcribes encounters, freeing physicians two hours per day, and Heidi Calls, an automated phone‑triage system that has driven a 20% rise in new patient appointments while cutting repetitive inquiries by half. Imaging AI was highlighted as another high‑impact area, with radiologists reporting a 40% reduction in routine workload, and the FDA received roughly 950 AI/ML submissions in the past year, underscoring rapid regulatory activity.

Panelists emphasized the importance of trustworthy AI. Heidi’s evidence engine pulls from hundreds of vetted sources, delivering citations rather than hallucinated content. Nvidia positioned itself as a platform provider, offering GPUs, NIMs, and blueprints to accelerate development, while Dell stressed the need for flexible deployment models—cloud, on‑prem, or edge—especially in regions with limited bandwidth.

The discussion concluded that AI’s greatest value lies in augmenting clinical workflows, not replacing clinicians. Successful implementations require robust governance, reliable infrastructure, and a clear focus on measurable outcomes such as time saved, patient throughput, and diagnostic efficiency.

Original Description

Healthcare CIOs are under pressure to deliver faster insights, safer care, and sustainable operations—without adding complexity. In this joint NVIDIA and Dell Technologies panel at HIMSS26, leaders from across the ecosystem explored how imaging, connected devices, and clinical edge AI are converging to transform care delivery.

Here's a look at our panel of experts:

* Rebecca Woods, Former CIO and Founder & CEO | Bluebird Leaders

* Yu Liu, Co-Founder and CTO | Heidi

* Dan Schneider, Professional Visualization Solution Specialist | NVIDIA

* Sandra Colner, GM Global Healthcare & Life Sciences | Dell Technologies

Learn more about Bluebird Leaders: https://www.bluebirdleaders.org/

Learn more about Heidi: https://www.heidihealth.com/en-us

Learn more about NVIDIA: https://www.nvidia.com/en-us/industries/healthcare-life-sciences/

Learn more about Dell Technologies: https://dell.com/Healthcare

Healthcare IT Community: https://www.healthcareittoday.com/