Analytics
Tying together artificial intelligence applications and agents can save time while enhancing patient care and revenue integrity, says the software giant, which plans to showcase an array of new copilot capabilities and real-time intelligence plugins at its booth.
Success Stories & ROI
The Tennessee health system achieved break-even on the surgical department investment in less than three months – and projections indicate a five times annualized return on investment, the RN VP of surgical services reports.
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The Best in KLAS 2026, Software and Services Report, delivers an objective, data-driven analysis of the healthcare technology solutions earning the highest performance ratings from providers nationwide.
Forward-thinking healthcare technology companies are embedding Ambient Clinical Intelligence (ACI) across clinical workflows to reduce administrative burden, accelerate revenue cycles, and improve workflow efficiency. However, developing these models in-house requires organizations to divert engineering teams into complex AI builds.
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AI is one of the first technologies that applies to every single person in your organization. Unlocking the value of AI agents requires healthcare and life sciences leaders to question old assumptions and drive cultural change.
Find out why data-driven decisions matter to a healthy revenue cycle and the 4 steps needed for success. This session focuses on specific metrics every revenue cycle leader should monitor to ensure meaningful results.
"Think about where you want to apply AI – documentation, patient engagement, revenue cycle, clinical trials – and go talk to those teams," says its VP of data and research. "The developers will be there. That's where the real conversations happen."
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Agentic AI is not just a smarter model — it's a different operating system for healthcare. Unlike predictive AI, which samples small slices of structured data, agentic systems are data-hungry.
The Electronic Health Record Association tells ASTP/ONC that some unresolved issues make it difficult to comment on specific IT certification proposals. And the American Hospital Association says it has concerns about privacy and security standards.
A top AI researcher at Harvard's Beth Israel Deaconess Medical Center describes the good and the bad of patients' increasing use of large language models to research their health. Health systems must embrace this new trend, he says.


