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- How healthcare organizations can scale AI with confidence
- Five ways to scale healthcare AI with confidence
- Where AI can create value now
- Why you need edge and on-premises AI in healthcare
- AI agents with human oversight
- How Dell and NVIDIA can help you scale from pilot to production
- Start with Dell AI Factory with NVIDIA
- The portfolio behind scalable healthcare AI
- A healthcare AI strategy that starts with the patient
How healthcare organizations can scale AI with confidence
Healthcare organizations are under pressure to improve patient outcomes, strengthen operations and do more with fewer resources. Patients need more care but face increasing delays. Imaging volumes continue to grow. And clinical and IT teams are being asked to do more with less. At the same time, data multiplies and fragments, making it harder to turn information into timely and caring action.
Across provider organizations, AI is already helping teams improve diagnostics, streamline workflows, accelerate insights, and deliver more responsive care with greater confidence.
This is why healthcare organizations are moving beyond early experiments and planning to bring AI into their day-to-day operations in ways that are secure, scalable and aligned to clinical priorities.
When AI becomes more embedded in patient-facing work, the stakes rise fast. Success depends not only on model quality, but on data access, infrastructure readiness, governance, security and deployment flexibility.
Five ways to scale healthcare AI with confidence
1. Start with a use case that has visible value
Focus first on a use case with clear clinical or operational relevance to build momentum and support for broader adoption. For many care providers, that may include imaging workflows, patient access, patient throughput, contact center operations, or clinician efficiency
2. Understand where your most important data lives.
Healthcare data is often spread across clinical, operational, and imaging systems. Before scaling AI, organizations need to know which data sources they need most, how accessible they are, and whether the right deployment model is at the edge, on-premises, in the cloud, or across all three
3. Build governance in from the beginning.
Trust cannot be an afterthought. As AI becomes more embedded in workflows, organizations need observability, security, and clear control over how systems access data and act on information.
4. Think platform, not point solution.
It is tempting to solve one problem at a time with isolated tools. But organizations that make the most progress will build on a foundation that can support multiple use cases over time.
5. Scale what is working for early adopters.
Identify the teams and users already driving results, learn from their workflows, and use those lessons to expand success across the enterprise.
Where AI can create value now
In healthcare, AI is already proving its value in focused, high-impact areas.
Medical imaging
Medical imaging leaders are managing rising expectations for speed, consistency, and accuracy. AI can help clinicians surface critical findings sooner, accelerate review, and reduce the burden of repetitive tasks. For example, Northwestern Medicine achieved up to a 40% productivity improvement in reviewing radiology images with Dell AI Factory with NVIDIA deployed on-premises.
Learn how Dell AI Factory with NVIDIA is helping medical imaging teams make earlier and more accurate diagnoses.
Clinical and operational workflows
AI can support patient throughput, staff responsiveness, event detection, and workflow coordination, reducing friction across the care journey. The Guthrie Clinic deployed Dell AI Factory with NVIDIA in its call center to help teams track patient needs in real time and improve throughput, contributing to the ability to accept 85% of transfers from other hospitals and clinics.
Documentation and clinical support
Healthcare teams are also exploring AI to improve documentation, patient communication, digital assistants, and clinician-facing information retrieval, reducing the administrative burden on clinicians and making it easier for them and their patients to get the information they need.
Why you need edge and on-premises AI in healthcare
Much of the most valuable healthcare data resides on-premises or at the edge, not neatly centralized in the cloud.
Imaging systems, operational systems, clinical repositories, and device-generated data often sit close to where care is delivered. Sending all of that data to a centralized environment is not always practical, efficient, or even desirable.
Running AI where your most important data resides can help reduce latency and improve control while supporting stronger data protection, governance and compliance.
Every second matters in patient care. When imaging data is trapped in isolated systems, critical answers are delayed. Dell AI Factory with NVIDIA helps bring imaging data together so providers can access insights faster and act with greater confidence.
AI agents with human oversight
AI agents have the potential to dramatically reduce delays across healthcare workflows. They can help organizations connect fragmented information, streamline repetitive tasks, and improve responsiveness across clinical and operational environments.
But agents only work in healthcare when there are humans in the loop and appropriate guardrails, because errors can have real human consequences. For example, organizations may require clinician signoff on agent-recommended treatment plans or limit agents to selecting from a list of clinician-approved tests.
To operate in a way that’s safe and compliant, agentic healthcare systems need an architecture that supports HIPAA-compliant data security, event logging, auditability and the ability to reverse or correct actions when needed. Safety must scale, even as inference grows and orchestration becomes more complex.
How Dell and NVIDIA can help you scale from pilot to production
Healthcare providers need a partner ecosystem that connects strategy and infrastructure with operational reality.
Together, Dell and NVIDIA offer accelerated computing, AI software, validated infrastructure, and deployment expertise that help healthcare organizations move from isolated AI efforts to scalable, real-world outcomes.
Start with Dell AI Factory with NVIDIA
The Dell AI Factory with NVIDIA is a full-stack, end-to-end enterprise AI approach designed to simplify deployment, speed adoption and help healthcare organizations get more value from their data. It can reduce the time for AI adoption by up to 86% compared to doing it yourself.
The portfolio behind scalable healthcare AI
The Dell AI Factory with NVIDIA is built on the following components that make real-world deployment possible.
PCs and workstations
Dell Pro Max AI PCs support demanding healthcare workloads such as genomic research and medical imaging.
Storage
The Dell AI Data Platform is the data foundation of the Dell AI Factory with NVIDIA, bringing together high-performance infrastructure, integrated data pipelines, and scalable storage to help organizations prepare, manage and move data for AI. It enables healthcare providers to accelerate AI outcomes by simplifying how data is accessed and operationalized across the full AI lifecycle.
Servers
Dell PowerEdge infrastructure, combined with NVIDIA acceleration, supports demanding AI and generative AI (GenAI) workloads across imaging, analytics and operational use cases. At Northwestern Medicine, Dell AI Factory with NVIDIA was built on a cluster of Dell PowerEdge XE9680 servers with NVIDIA H100 GPUs, deployed on-premises, enabling AI researchers to work closely with medical practitioners.
Networking
For networking, NVIDIA SN-series switches provide the high-performance connectivity needed to help move data across AI environments and support demanding healthcare workloads.
Software
NVIDIA AI Enterprise brings together microservices, frameworks, and libraries for AI development with advanced GPU orchestration and infrastructure management in a fully supported, production-ready, commercial software suite. Deploy leading open source tools and AI models with confidence, improve productivity and time to value, and run AI workloads at scale with optimized resource utilization.
A healthcare AI strategy that starts with the patient
Healthcare organizations exist to improve patient outcomes. Yet fragmented technologies slow down clinicians and make it more difficult for patients to get the care they need.
AI can help healthcare organizations rethink how care is delivered by automating administrative tasks and allowing clinicians and other patient-facing staff to spend more time delivering human-to-human care.
To realize this value, healthcare organizations need a platform built for secure, scalable, real-world healthcare AI — one that reflects the unique demands of clinical workflows, patient relationships and health data.
Together, Dell Technologies and NVIDIA can help you design an architecture that supports faster care, stronger operations, cost control and compliance.