Healthcare inefficiency is rarely about a single task. It is typically about disjointed systems, misaligned incentives, and fragmented accountability. When we automate broken processes like these, we simply fail faster and at scale.
The question is where will healthcare see the greatest value? Here are five use cases that define the greatest ROI for leveraging agentic AI for clinical supply chain operations.
Enterprise EHR boosts scalability, interoperability, and governance for large healthcare systems.
To give patients the care they deserve and improve healthcare’s return on investment, PCPs can harness intelligent, clinically fluent AI – not to replace or override physicians or give them what tech companies think they need, but to support them in pragmatic ways.
Michael Meucci, CEO of health data platform Arcadia, thinks health systems are changing their thinking about ROI when it comes to AI projects. As providers face tighter budgets, he said they’re broadening how they measure AI’s ROI, including benefits like reducing clinician burnout.
What many organizations haven't yet connected is how security decisions ripple through their entire financial picture, from recruitment to retention to operational efficiency.
A future where ambient technology is integrated across all hospital spaces — patient rooms, ORs, even waiting areas — will revolutionize decision-making to improve care.
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Tech partners play an important role in scaling AI effectively and responsibly – without compromising patient trust.
AI continues to dominate digital health funding, but investors and health systems are demanding proof that these tools actually save money — and quickly. AI startups without clear, measurable ROI are finding it harder to stand out, explained Vig Chandramouli, partner at Oak HC/FT.
Now that the “Big Beautiful Bill” has been enacted, U.S. health systems may face a seismic financial shakeup. The most resilient organizations are using this moment to rethink their infrastructure, and modernizing payments is one of the most logical places to start.
Now is a good time for health systems to step back and ask some foundational questions instead of rushing into their next AI purchase.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
In a system already under incredible pressures, with more seemingly arriving every day, ROI becomes about not spending less but spending smarter.
Providers stand to gain a lot by making smart AI and automation decisions, but that value depends on investing in the right places. It may be tempting to plug in a single-point solution to fix an immediate challenge, but a more strategic, long-term approach will unlock greater value.
Sentara Health has rolled out Regard’s AI-powered chart review and discharge summary tool across all 12 of its hospitals. The tool has delivered consistent benefits when it comes to patient safety and documentation accuracy, said Joseph Evans, Sentara’s chief health information officer.
If healthcare leaders hope to demonstrate ROI on AI investments, reduce clinician burnout, and meet compliance requirements, they must first ensure the integrity of their clinical data.
AI doesn’t need to be a black box — and hospitals don’t need to invest based on blind faith. With the right structure, questions, and metrics in place, healthcare leaders can cut through the hype and make decisions that actually drive value.