Posted
August 13th, 2025

AI Nurse Assistants Have Arrived

How “personal assistants” help nurses’ efficiency and wellbeing

Given all the headlines about AI putting people out of work, it’s nice to see this new technology actually putting joy back into work. More than 2/3s of nurses using Aiva Nurse Assistant at Cedars-Sinai Medical Center report that they’re not only embracing it, they actually enjoy it.

Nursing and Informatics leaders from Cedars-Sinai have presented to audiences at AONL, AMIA and most recently AHA, and it’s not hard to see why their nurses like using the tool.  Their initial use-case has been voice charting, and highlights include:

90%

faster documentation for Aiva-enabled flowsheet rows

55%

less incidental overtime

41%

higher Press Ganey scores on nursing-specific questions

It’s not rocket science.  When you reduce nurses’ administrative burden, they can actually do the job they signed up for:  taking good care of patients.

“We turned saved minutes into meaningful moments with patients,” Peachy Hain, Cedars-Sinai Executive Director of Nursing, told the AHA audience.  “It’s a win for our nurses, a win for our patients and a win for our organization.”

There’s more to that administrative burden than just documentation though.  Nurses spend hours per shift typing on keyboards, navigating different apps and punching into digital displays.  The beauty of AI is that nurses can use their voice to accomplish a wide range of tasks, including pulling data from the EHR, setting reminders, accessing policies & procedures, submitting dietary and work orders, communicating with colleagues and controlling their patients’ TVs, lights, blinds and thermostats.

A true nurse assistant gives you conversational control over your entire environment.

Background:  The Crisis of Overburdened Nurses

The digitization of healthcare has fallen hardest on nurses.  Because they’re at the front line of patient care, they’ve been pushed to do more and more administrative work in more and more systems.

A UPMC study found nurses spend ⅓ of their time in digital systems (Source) – an estimate that actually sounds low given that other research has found up to 41% of time spent in the EHR alone (Source).ere are the grim statistics about the toll EHR documentation takes on nurses:‍

600–800 data points are documented during a typical 12-hour shift Source

69% blame poor EHR usability for job dissatisfaction Source

Clinician burnout is directly tied to documentation burden Source

45% of inpatient nurses plan to leave their jobs in the next 6 months Source

“We’ve had a history in healthcare of pushing technology out to nurses without really ensuring it supports nursing workflow and practice,” said Kathleen Harmon, MS, RN, Clinical Innovation Advisor at Aiva in an interview with AVIA Health.

How It Works: Voice is the key

Like any good helper, an AI nurse assistant needs to do what it’s told with minimal fuss.  To use Aiva’s app, for example, nurses can tap a button or use a wake-work on their phone and then speak in natural language. Built on ChatGPT, Nurse Assistant is intelligent enough to understand commands just about any way they’re phrased. Results happen in seconds, whether it’s documenting an intervention or showing a patient’s latest vitals.

Security and control are paramount.  Nurse Assistant uses the same HIPAA-compliant system that powers more than 5,000 Aiva smart rooms in hospitals across the country.   Nurses can only document to rooms they’re assigned to, multiple patient identifiers prevent mismatched data, and every observation must be viewed and accepted before being written to the EHR.

Controlling other systems is just as foolproof.  You just say what you need and then Aiva handles all the back & forth – no need to open other apps or navigate different interfaces.

Results:  Meeting KPIs, Expanding Functionality

The first two health systems to launch full AI nurse assistants were BayCare Health in Tampa, Florida, and Cedars-Sinai.  Job #1 was building adoption and satisfaction, but the real goal was reducing time in front of the EHR.
“It gives them more time with patients and less behind a computer,” said Liza Redmond, a BayCare St. Anthony’s Hospital nurse manager on the cardiac medical unit that piloted Aiva. “Being able to use this voice technology is a game changer for everyone in health care.”

TV news story about Aiva at BayCare Health
AMIA 25x5 webinar by Cedars-Sinai

As mentioned earlier, Cedars-Sinai has reported ROI from a 55% reduction in incidental overtime among Aiva users while also seeing a remarkable 41% gain in patient satisfaction scores related to nursing.  Since charting is so much easier hands-free, nurses are much more likely to do their charting real-time.  This makes the data available to other nurses and physicians almost instantly for clinical decision-making.

For example, even though Aiva was used for only a portion of observations like Urine Output and CHG Bath, it reduced the overall average time from observation to documentation roughly 90%.  An important but often overlooked observation like Meal Eaten has gone from taking an average of 168 minutes to be charted down to just 11 minutes.

Buoyed by initial results, both health systems have continued to add flowsheet rows and features, making Aiva a full-service Swiss Army Knife of a tool.

First up has been the ability to pull data from the patient record, such as vitals or lab results.  Nurses are often pressed for this kind of information by physicians, and before Aiva they’d need to run to a workstation to look it up, with the physician sometimes disappearing from the floor before they could get back to them.  Now it’s just a few seconds away no matter where they are.

Next are Reminders.  Nurses can tell Nurse Assistant to notify them when, for example, it’s time to check pain or rotate a patient again.  In the future, those reminders can be triggered automatically.

Implementation Keys:  Interfaces, Informatics and Training

When you implement an AI nurse assistant like Aiva, three important resources are the Interfaces, Informatics and Training teams.

Aiva relies on a client’s Interfaces team to help map voice commands to the right flowsheet rows.  Their actual time commitment should be less than 10 hours, but, as everyone knows, those Interfaces folks are always busy and hard to book, so you’ll want to schedule ahead of time.

The Informatics team is in high demand too, and they’ll probably spend between 10-20 hours on testing (to make sure the Aiva is writing correctly to the right flowsheet rows) and then 6-8 hours on training users.

Training is straightforward, thanks to the ease of using voice and people’s increasing familiarity with conversational AI.  However, not everyone embraces new ways of doing things, even when those new ways save them time.  Just the act of speaking observations on the go rather than settling down at a workstation to type them in can take some nurses a day or two to get used to.  For the hesitant, Aiva clients have had success encouraging them to start slowly – just doing one or two flowsheets at first and then adding more as their comfort grows.  This approach has been very effective, with many of the most wary nurses jumping to the top of their unit’s utilization leaderboard within a week!

Comfort and utilization also grow as clients add more functionality to Aiva Nurse Assistant.  For example, many clients will start with their most heavily used 100 rows.  They then steadily add more rows, along with features like pulling data from the EHR (labs, vitals, schedules, orders, et al), setting reminders and compliance nudges.  It makes sense:  the more things an app can do for you, the more you use it – a virtuous circle that only grows when you add conversational control of policies & procedures, dietary and work orders, interpreter services and other systems Aiva connects with.

The New Must-Have

2 in 3 nurses under age 40 now rank the EHR experience among their top three factors when evaluating new employers.  They want to invest their time, effort and compassion with health systems who invest in them.  

An AI nurse assistant is an investment in your nurses.  By giving them a single conversational interface like Aiva Nurse Assistant, you get not only happier nurses, but also greater efficiency, better compliance, lower overtime and higher patient satisfaction.

If you’re new to Aiva and want to learn more, please provide your contact info.

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