HOSPITALS
David Niewolny, Director of Business Development for Healthcare / Medical at NVIDIA, has spent much of his career working across healthcare and technology.
Equipped with over 18 years of experience building and leading healthcare-focused divisions within AWS, Real Time Innovations, NXP and Freescale Semiconductor, he is wellversed in emerging technologies and innovations entering the healthcare sector.
Today, much of his focus at NVIDIA centres on helping health systems, medtech companies, digital health partners and researchers accelerate the development and deployment of AI and robotics across healthcare, from medical imaging and clinical documentation to surgical robotics, hospital automation and physical AI at the point of care.
“AI-native hospitals will scale only when hospitals can trust not just the AI model or application, but the system around it”
David Niewolny Director of Healthcare Business Development NVIDIA
One of the technological shifts of particular interest to him, and indeed the wider NVIDIA healthcare team, is AI-native hospitals. These next-generation medical facilities are designed to integrate AI into their core operational and data architecture, rather than operating isolated AI tools or“ layering” AI capabilities onto existing digital infrastructure.
From isolated to integrated AI One core, defining difference separates existing digitally-integrated hospitals and emerging AI-native hospitals.
David explains that“ many hospitals use AI tools, but largely as individual point solutions. One application helps with documentation. Another supports imaging. A third assists with scheduling. They’ re valuable, but they operate independently.”
AI-native hospitals, on the other hand, become“ a connected care environment where digital agents, physical AI, robotics and simulation work together as a coordinated layer around clinicians and patients”.
These hospitals also prioritise AI quality over quantity.“ The goal isn’ t simply to add more AI,” David says.“ It’ s to build an adaptive, orchestrated healthcare system that extends workforce capacity, improves hospital efficiency and helps clinicians focus on patient care. The hospital of the future will be measured less by how much AI it has, and more by how well that AI coordinates care.”
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