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Umesh Rustogi says early customers of Dragon Copilot for nurses reported less documentation time, less documentation delay and more complete documentation.
“Our early customers adopting Dragon Copilot for nurses actually reported outcomes that include reduction in documentation time, reduction in documentation latency, improvement in the quality and completeness of documentation,”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:03:33
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Rustogi says low accuracy would force nurses to spend more time editing results and would block adoption of the tool.
“if the accuracy of the solution was not good enough, then nurses will have to spend lot more time editing or correcting the results versus just reviewing and accepting it”
Matthew DeMello · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:06:00
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Rustogi says nursing workflows vary by role, such as certified nursing assistant, patient care technician or registered nurse.
“individual nurses can have variations in their workflows depending on their roles, whether they are a CNA, PCT, or a registered nurse”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:08:11
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Rustogi reports that nurses at Mercy said narrating their care aloud, with it pulled into the EHR as structured documentation, improved the quality of their documentation.
“like many of the nurses said that by narrating their care, by caring out loud and having that care being pulled into, uh, the EHR as a structured documentation was great for that”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:09:56
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Rustogi gives user-level personalization as an example: some users want recording to start when they select the patient, while others prefer to start it explicitly.
“a certain group of users basically want the recording to start immediately the moment they select the patient in the application versus somebody who would say, no, no, no, I select the patient, but then I explicitly say start recording”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:12:44
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Rustogi says hospital flow sheet schemas have evolved over many years and can contain ambiguity about the right choice, which affects AI accuracy.
“Because these flow sheet schemas in these organizations have evolved over years, right?”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:18:44
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Rustogi says the AI can only document what nurses say aloud, which is why care-out-loud practice affects how much of a flow sheet is filled in.
“Obviously, the AI can only capture things that were talked about. It cannot capture things which were not talked about, right?”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:18:44
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Rustogi predicts the next phase of healthcare AI will move from task automation to agentic AI that collaborates with clinicians.
“I believe in the next phase of AI in healthcare, we'll we'll basically start seeing an evolution from task automation to more agentic intelligence that collaborates with clinicians, right?”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:21:24
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Rustogi suggests AI agents could help nurses with post-discharge follow-up on whether patients are taking medications as recommended, to reduce readmissions.
“somebody like a nurse today ends up spending a lot of time in, uh, once a patient has been discharged, right, following up with the patient”
Umesh Rustogi · Overcoming Skepticism and Driving AI Adoption - with Umesh Rustogi of Microsoft, 0:21:55