Nurses are constantly moving, and their provisioned smartphones have become essential tools. With Claude on the device, they can accomplish tasks without returning to workstations, logging into separate systems, or navigating a maze of interfaces. No more endless clicking and typing.
Aiva Health has built native integrations with more than 40 hospital systems, placing every task under AI command. These include:
Aiva can orchestrate across multiple systems in a single conversational command. A nurse might say: "I just turned Mrs. Patterson in 412. She finished about half her dinner, her call light is broken, and I need the fall prevention protocol." In response, Aiva simultaneously documents the patient turn and meal in the EHR, files a work order, and surfaces the fall prevention protocol — all at once. That's minutes saved per task, hours recovered per shift.
Aiva has validated these time savings with thousands of nurses at health systems across the U.S. — including Cedars-Sinai Medical Center, Northwestern Medicine, and BayCare Health.
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The capabilities nurses use most, all voice-controlled:
Technology only creates value when it's adopted. As any health system CIO knows, even exceptional solutions fail without thoughtful implementation. Aiva brings nearly a decade of experience deploying and sustaining voice AI in the complex, fragmented, and tightly regulated environment of hospitals.
That track record is built on high-touch partnership, self-service tools, and a proven playbook covering discovery, configuration, training, communications, and ongoing support. Aiva works hand-in-hand with EIS teams and nursing governance structures to define success metrics and shape solutions that staff truly own — from first deployment through enterprise scale.
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The impact of AI assistance is immediate, in large part because of how quickly staff can start using it. Aiva client Cedars-Sinai Medical Center has shared ROI data at AMIA, AONL, and AHA, including:
Additional metrics worth tracking: increased patient throughput and reduced staff turnover.
Health systems increasingly see AI as the path out of technology fragmentation. Most are running multiple AI initiatives — but what they ultimately need is a single interface that ties all their nurse-facing tools together.
Claude is that interface. Aiva is the orchestration layer connecting those tools to it.
Claude brings uniquely strong capabilities to clinical environments:
These capabilities provide state-of-the-art conversational control to Aiva's deep healthtech connectors, which power more than 6,000 hospital rooms across the country.
Today's smart hospitals need staff focused on patients — not keyboards and drop-down menus. Claude and Aiva replace fragmented interfaces with a seamless conversational experience, driving utilization and satisfaction across the board.
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