“Every minute we give back to a nurse is a minute we give back to a patient.”
That’s how Michelle Watson, chief nurse executive at Lifepoint Health, framed the case for AI at the bedside during an interview this summer.
After four decades in nursing, Watson has seen documentation and regulatory demands pile up for nurses without anything coming off their plate. Now, she believes ambient listening and other AI tools can finally buck that trend by reducing lower-value tasks so nurses can focus on the parts of the job only they can do.
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Lifepoint is piloting ambient listening technology that captures nursing admission assessments and patient education conversations in real time, and then automatically feeds that documentation into the record.
The health system is also exploring AI agents that can prioritize a nurse’s patient assignments before a shift even begins. These tools can flag who is critical, who is stable and who is ready for discharge, Watson explained.
“So, as a nurse, I come into work, I have X number of patients, and an AI agent has already helped prioritize my patient load for the day,” she remarked. “That really starts to help me plan my day and saves me time on the front end.”
Watson noted that these tools are a complement to nursing judgment rather than a replacement for it. She said the goal is an environment where AI can handle what doesn’t require a nurse’s clinical training, which frees nurses to focus on the tasks that do.
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This typically results in better care and deeper connections with patients, Watson added.
She was also careful to point out that rolling out new technology across a nursing workforce that spans multiple generations isn’t a one-size-fits-all process. Teaching a nurse who has been on the job for decades to use ambient listening looks nothing like onboarding someone who is straight out of nursing school.
“The hard part is being intentional about meeting each nurse where they’re at,” Watson stated.
That philosophy extends to how Lifepoint decides which tools are worth adopting in the first place. Watson noted that executives regularly hold listening sessions with nurses and other clinicians, asking directly about pain points and where technology could help.
Promising ideas get escalated to what Lifepoint calls its “health support center” which evaluates the product, its intent and whether it’s worth scaling.
“We try to be very intentional to find those things that are most impactful to the nurses,” Watson declared.
Watson credited this feedback loop with shaping much of Lifepoint’s technology roadmap to date, adding that it’s built on the idea that the people closest to patients are best positioned to say what actually helps them.
As AI continues to reshape hospital workflows, Watson thinks the biggest wins won’t come from the flashiest tools, but from the ones that can consistently give nurses their time back.
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