Posted
February 11, 2025

2025 Aiva Client Conference Recap: Voice Charting for Nurses Has Arrived

Cedars-Sinai Medical Center and BayCare Health shared results from their expanding pilots, while other Aiva clients reported on use cases in Smart Rooms, Medications and Pediatrics.  

Today's post recaps the voice charting portion of the conference, and you can watch the recording of that portion by clicking here. We'll follow up with the other sessions in the days to come.

Cedars-Sinai Medical Center and BayCare Health shared results from their expanding pilots, while other Aiva clients reported on use cases in Smart Rooms, Medications and Pediatrics.  

Today's post recaps the voice charting portion of the conference, and you can watch the recording of that portion by clicking here. We'll follow up with the other sessions in the days to come.

Cedars-Sinai Medical Center and BayCare Health shared results from their expanding pilots, while other Aiva clients reported on use cases in Smart Rooms, Medications and Pediatrics.  

Today's post recaps the voice charting portion of the conference, and you can watch the recording of that portion by clicking here. We'll follow up with the other sessions in the days to come.

Cedars-Sinai Medical Center and BayCare Health shared results from their expanding pilots, while other Aiva clients reported on use cases in Smart Rooms, Medications and Pediatrics.  

Today's post recaps the voice charting portion of the conference, and you can watch the recording of that portion by clicking here. We'll follow up with the other sessions in the days to come.

Real-time voice charting is saving nurses time and improving the timeliness of documentation in early pilot results at Cedars-Sinai Medical Center (Epic) and BayCare Health (Cerner).  Cedars-Sinai began testing Aiva’s Nurse Assistant mobile app in December, followed right afterwards by BayCare, and both pilots have now expanded unit-wide.  

Real-time voice charting is saving nurses time and improving the timeliness of documentation in early pilot results at Cedars-Sinai Medical Center (Epic) and BayCare Health (Cerner).  Cedars-Sinai began testing Aiva’s Nurse Assistant mobile app in December, followed right afterwards by BayCare, and both pilots have now expanded unit-wide.  

Real-time voice charting is saving nurses time and improving the timeliness of documentation in early pilot results at Cedars-Sinai Medical Center (Epic) and BayCare Health (Cerner).  Cedars-Sinai began testing Aiva’s Nurse Assistant mobile app in December, followed right afterwards by BayCare, and both pilots have now expanded unit-wide.  

Real-time voice charting is saving nurses time and improving the timeliness of documentation in early pilot results at Cedars-Sinai Medical Center (Epic) and BayCare Health (Cerner).  Cedars-Sinai began testing Aiva’s Nurse Assistant mobile app in December, followed right afterwards by BayCare, and both pilots have now expanded unit-wide.  

The conference keynote was delivered by Peachy Hain, Executive Director of Nursing at Cedars-Sinai, and Ryan Trias, MSN, RN, CMSRN.   Hain shared how technology like the electronic health record (EHR) has taken over patient care, forcing nurses to spending hours in front of a keyboard:  

“We actually have saddled our nurses with a growing list of equipment and technological systems they have to use all day long, and most of them are siloed with their own interfaces, logins, keyboards, touch screens and navigation processes.”

The conference keynote was delivered by Peachy Hain, Executive Director of Nursing at Cedars-Sinai, and Ryan Trias, MSN, RN, CMSRN.   Hain shared how technology like the electronic health record (EHR) has taken over patient care, forcing nurses to spending hours in front of a keyboard:  

“We actually have saddled our nurses with a growing list of equipment and technological systems they have to use all day long, and most of them are siloed with their own interfaces, logins, keyboards, touch screens and navigation processes.”

The conference keynote was delivered by Peachy Hain, Executive Director of Nursing at Cedars-Sinai, and Ryan Trias, MSN, RN, CMSRN.   Hain shared how technology like the electronic health record (EHR) has taken over patient care, forcing nurses to spending hours in front of a keyboard:  

“We actually have saddled our nurses with a growing list of equipment and technological systems they have to use all day long, and most of them are siloed with their own interfaces, logins, keyboards, touch screens and navigation processes.”

The conference keynote was delivered by Peachy Hain, Executive Director of Nursing at Cedars-Sinai, and Ryan Trias, MSN, RN, CMSRN.   Hain shared how technology like the electronic health record (EHR) has taken over patient care, forcing nurses to spending hours in front of a keyboard:  

“We actually have saddled our nurses with a growing list of equipment and technological systems they have to use all day long, and most of them are siloed with their own interfaces, logins, keyboards, touch screens and navigation processes.”

Hain pointed to the problems that EHR documentation creates or exacerbates for nurses and health systems across the country:

  • 25-41% of the shift spent on documentation
  • 600 to 900 data points entered per shift
  • 56% of our nurses experiencing burnout
  • 41% of direct care nurses intend to leave the profession within 6 months after they've started
  • Millions or tens of millions of dollars in annual overtime costs  
  • $26.8 billion cost of nurse turnover

“It became clear to me that we nurses needed to get out there and find our solutions to reduce administrative burden on our staff,” she continued.  “Last year I reached out to our voice, partner, Aiva health.  And with a tremendous support from our enterprise information system comrades, we partnered to harness this transformative technology.”

Hain pointed to the problems that EHR documentation creates or exacerbates for nurses and health systems across the country:

  • 25-41% of the shift spent on documentation
  • 600 to 900 data points entered per shift
  • 56% of our nurses experiencing burnout
  • 41% of direct care nurses intend to leave the profession within 6 months after they've started
  • Millions or tens of millions of dollars in annual overtime costs  
  • $26.8 billion cost of nurse turnover

“It became clear to me that we nurses needed to get out there and find our solutions to reduce administrative burden on our staff,” she continued.  “Last year I reached out to our voice, partner, Aiva health.  And with a tremendous support from our enterprise information system comrades, we partnered to harness this transformative technology.”

Hain pointed to the problems that EHR documentation creates or exacerbates for nurses and health systems across the country:

  • 25-41% of the shift spent on documentation
  • 600 to 900 data points entered per shift
  • 56% of our nurses experiencing burnout
  • 41% of direct care nurses intend to leave the profession within 6 months after they've started
  • Millions or tens of millions of dollars in annual overtime costs  
  • $26.8 billion cost of nurse turnover

“It became clear to me that we nurses needed to get out there and find our solutions to reduce administrative burden on our staff,” she continued.  “Last year I reached out to our voice, partner, Aiva health.  And with a tremendous support from our enterprise information system comrades, we partnered to harness this transformative technology.”

Hain pointed to the problems that EHR documentation creates or exacerbates for nurses and health systems across the country:

  • 25-41% of the shift spent on documentation
  • 600 to 900 data points entered per shift
  • 56% of our nurses experiencing burnout
  • 41% of direct care nurses intend to leave the profession within 6 months after they've started
  • Millions or tens of millions of dollars in annual overtime costs  
  • $26.8 billion cost of nurse turnover

“It became clear to me that we nurses needed to get out there and find our solutions to reduce administrative burden on our staff,” she continued.  “Last year I reached out to our voice, partner, Aiva health.  And with a tremendous support from our enterprise information system comrades, we partnered to harness this transformative technology.”

Trias described how Cedars-Sinai launched a limited pilot in a medical-surgical unit mid-December and then went unit-wide January 20th. The expanded pilot involves 90 RNs and 33 Clinical Partners, or nursing aides.  

To begin with, 50 of the most frequently used rows in the Epic EHR were voice enabled.  Nurses were trained to press a button in the app, speak (or text) their observations into the app, review what Assistant says it heard, crosscheck patient identifiers and then either press Accept to confirm that observation, press Reject to start over or tell Assistant to change particular values.  

Trias described how Cedars-Sinai launched a limited pilot in a medical-surgical unit mid-December and then went unit-wide January 20th. The expanded pilot involves 90 RNs and 33 Clinical Partners, or nursing aides.  

To begin with, 50 of the most frequently used rows in the Epic EHR were voice enabled.  Nurses were trained to press a button in the app, speak (or text) their observations into the app, review what Assistant says it heard, crosscheck patient identifiers and then either press Accept to confirm that observation, press Reject to start over or tell Assistant to change particular values.  

Trias described how Cedars-Sinai launched a limited pilot in a medical-surgical unit mid-December and then went unit-wide January 20th. The expanded pilot involves 90 RNs and 33 Clinical Partners, or nursing aides.  

To begin with, 50 of the most frequently used rows in the Epic EHR were voice enabled.  Nurses were trained to press a button in the app, speak (or text) their observations into the app, review what Assistant says it heard, crosscheck patient identifiers and then either press Accept to confirm that observation, press Reject to start over or tell Assistant to change particular values.  

Trias described how Cedars-Sinai launched a limited pilot in a medical-surgical unit mid-December and then went unit-wide January 20th. The expanded pilot involves 90 RNs and 33 Clinical Partners, or nursing aides.  

To begin with, 50 of the most frequently used rows in the Epic EHR were voice enabled.  Nurses were trained to press a button in the app, speak (or text) their observations into the app, review what Assistant says it heard, crosscheck patient identifiers and then either press Accept to confirm that observation, press Reject to start over or tell Assistant to change particular values.  

“A single command can document across multiple rows, or even different flow sheets from anywhere in the hospital,” Trias noted, “streamlining the process further and saving valuable time.”

Trias and Hain shared some data and feedback from the first 2 weeks of the pilot, when nurses logged thousands of interactions with Assistant:

  • 7.8 seconds per interaction (including speaking and awaiting Assistant’s response).
  • 2 rows filled in per documentation command – with some RNs averaging 5 rows/command.
  • One CP made a then-record of 84 commands in one shift, while the RN record was 38.
  • The top 5 flowsheet rows charted with Assistant were Activity Performed, Urine Amount, Urine Color, Urine Appearance, Patient Position. Pain Rating, Meal, Meal Eaten %, Pain Assessment Type and Pain Scale Used.

“A single command can document across multiple rows, or even different flow sheets from anywhere in the hospital,” Trias noted, “streamlining the process further and saving valuable time.”

Trias and Hain shared some data and feedback from the first 2 weeks of the pilot, when nurses logged thousands of interactions with Assistant:

  • 7.8 seconds per interaction (including speaking and awaiting Assistant’s response).
  • 2 rows filled in per documentation command – with some RNs averaging 5 rows/command.
  • One CP made a then-record of 84 commands in one shift, while the RN record was 38.
  • The top 5 flowsheet rows charted with Assistant were Activity Performed, Urine Amount, Urine Color, Urine Appearance, Patient Position. Pain Rating, Meal, Meal Eaten %, Pain Assessment Type and Pain Scale Used.

“A single command can document across multiple rows, or even different flow sheets from anywhere in the hospital,” Trias noted, “streamlining the process further and saving valuable time.”

Trias and Hain shared some data and feedback from the first 2 weeks of the pilot, when nurses logged thousands of interactions with Assistant:

  • 7.8 seconds per interaction (including speaking and awaiting Assistant’s response).
  • 2 rows filled in per documentation command – with some RNs averaging 5 rows/command.
  • One CP made a then-record of 84 commands in one shift, while the RN record was 38.
  • The top 5 flowsheet rows charted with Assistant were Activity Performed, Urine Amount, Urine Color, Urine Appearance, Patient Position. Pain Rating, Meal, Meal Eaten %, Pain Assessment Type and Pain Scale Used.

“A single command can document across multiple rows, or even different flow sheets from anywhere in the hospital,” Trias noted, “streamlining the process further and saving valuable time.”

Trias and Hain shared some data and feedback from the first 2 weeks of the pilot, when nurses logged thousands of interactions with Assistant:

  • 7.8 seconds per interaction (including speaking and awaiting Assistant’s response).
  • 2 rows filled in per documentation command – with some RNs averaging 5 rows/command.
  • One CP made a then-record of 84 commands in one shift, while the RN record was 38.
  • The top 5 flowsheet rows charted with Assistant were Activity Performed, Urine Amount, Urine Color, Urine Appearance, Patient Position. Pain Rating, Meal, Meal Eaten %, Pain Assessment Type and Pain Scale Used.

For Trias, the real-time nature of voice charting was critical:  “these interactions take just 7 to 10 seconds, significantly reducing the time spent on manual entry. This means nurses spend less time in the patient record, and critical data is available for clinical decision-making almost instantly.”

The Cedars-Sinai team shared operational KPIs for the expanded pilot that started this month.  In addition to faster charting and instant access to key patient data, goals include increased documentation compliance, nurse satisfaction and reduced overtime.  Hain mentioned that a few participating nurses had logged no OT during the pilot, although it's too early to know if that trend will hold.

For Trias, the real-time nature of voice charting was critical:  “these interactions take just 7 to 10 seconds, significantly reducing the time spent on manual entry. This means nurses spend less time in the patient record, and critical data is available for clinical decision-making almost instantly.”

The Cedars-Sinai team shared operational KPIs for the expanded pilot that started this month.  In addition to faster charting and instant access to key patient data, goals include increased documentation compliance, nurse satisfaction and reduced overtime.  Hain mentioned that a few participating nurses had logged no OT during the pilot, although it's too early to know if that trend will hold.

For Trias, the real-time nature of voice charting was critical:  “these interactions take just 7 to 10 seconds, significantly reducing the time spent on manual entry. This means nurses spend less time in the patient record, and critical data is available for clinical decision-making almost instantly.”

The Cedars-Sinai team shared operational KPIs for the expanded pilot that started this month.  In addition to faster charting and instant access to key patient data, goals include increased documentation compliance, nurse satisfaction and reduced overtime.  Hain mentioned that a few participating nurses had logged no OT during the pilot, although it's too early to know if that trend will hold.

For Trias, the real-time nature of voice charting was critical:  “these interactions take just 7 to 10 seconds, significantly reducing the time spent on manual entry. This means nurses spend less time in the patient record, and critical data is available for clinical decision-making almost instantly.”

The Cedars-Sinai team shared operational KPIs for the expanded pilot that started this month.  In addition to faster charting and instant access to key patient data, goals include increased documentation compliance, nurse satisfaction and reduced overtime.  Hain mentioned that a few participating nurses had logged no OT during the pilot, although it's too early to know if that trend will hold.

“We're not just looking at the numbers,” Trias continued.  We're listening to the voices of our nurses and clinical partners.  Their perspective is invaluable in assessing whether the technology is truly making a difference, because their voices tell the real story. 

We're delighted to share their feedback has been overwhelmingly positive. Aiva Nurse Assistant is already making meaningful impact.”

“We're not just looking at the numbers,” Trias continued.  We're listening to the voices of our nurses and clinical partners.  Their perspective is invaluable in assessing whether the technology is truly making a difference, because their voices tell the real story. 

We're delighted to share their feedback has been overwhelmingly positive. Aiva Nurse Assistant is already making meaningful impact.”

“We're not just looking at the numbers,” Trias continued.  We're listening to the voices of our nurses and clinical partners.  Their perspective is invaluable in assessing whether the technology is truly making a difference, because their voices tell the real story. 

We're delighted to share their feedback has been overwhelmingly positive. Aiva Nurse Assistant is already making meaningful impact.”

“We're not just looking at the numbers,” Trias continued.  We're listening to the voices of our nurses and clinical partners.  Their perspective is invaluable in assessing whether the technology is truly making a difference, because their voices tell the real story. 

We're delighted to share their feedback has been overwhelmingly positive. Aiva Nurse Assistant is already making meaningful impact.”

One CP said “this is easily saving me 1.5-2 hours per shift”, while another just called it “a lifesaver.”  A nurse manager was impressed that in the time it usually took him to just badge into the EHR on a workstation, he was already done documenting with Aiva.

In Trias’s view, “It demonstrates how assistant can streamline workloads, improve efficiency and give nurses back valuable time to focus on delivering that high quality patient care.

One CP said “this is easily saving me 1.5-2 hours per shift”, while another just called it “a lifesaver.”  A nurse manager was impressed that in the time it usually took him to just badge into the EHR on a workstation, he was already done documenting with Aiva.

In Trias’s view, “It demonstrates how assistant can streamline workloads, improve efficiency and give nurses back valuable time to focus on delivering that high quality patient care.

One CP said “this is easily saving me 1.5-2 hours per shift”, while another just called it “a lifesaver.”  A nurse manager was impressed that in the time it usually took him to just badge into the EHR on a workstation, he was already done documenting with Aiva.

In Trias’s view, “It demonstrates how assistant can streamline workloads, improve efficiency and give nurses back valuable time to focus on delivering that high quality patient care.

One CP said “this is easily saving me 1.5-2 hours per shift”, while another just called it “a lifesaver.”  A nurse manager was impressed that in the time it usually took him to just badge into the EHR on a workstation, he was already done documenting with Aiva.

In Trias’s view, “It demonstrates how assistant can streamline workloads, improve efficiency and give nurses back valuable time to focus on delivering that high quality patient care.

The improvement in documentation timeliness was reiterated by Andre Arsinian, a Data Intelligence Analyst II at Cedars-Sinai.  “You could right away see the effect that Aiva has when it went live. Our delay from observation to documentation dropped drastically. It's almost an inverse relationship.”

Looking forward, Trias said, “This is just the beginning. A true assistant should go beyond documentation, redefining the way we deliver patient care. Imagine a tool that can instantly retrieve lab results with a simple voice command, adjust patient room devices like televisions anywhere in the hospital, help with language translation, or just quickly provide answers to hospital policies and procedures. Ava nurse assistant is that trusted partner supporting frontline staff, who dedicate themselves to delivering high quality care to our patients every single day.”

The improvement in documentation timeliness was reiterated by Andre Arsinian, a Data Intelligence Analyst II at Cedars-Sinai.  “You could right away see the effect that Aiva has when it went live. Our delay from observation to documentation dropped drastically. It's almost an inverse relationship.”

Looking forward, Trias said, “This is just the beginning. A true assistant should go beyond documentation, redefining the way we deliver patient care. Imagine a tool that can instantly retrieve lab results with a simple voice command, adjust patient room devices like televisions anywhere in the hospital, help with language translation, or just quickly provide answers to hospital policies and procedures. Ava nurse assistant is that trusted partner supporting frontline staff, who dedicate themselves to delivering high quality care to our patients every single day.”

The improvement in documentation timeliness was reiterated by Andre Arsinian, a Data Intelligence Analyst II at Cedars-Sinai.  “You could right away see the effect that Aiva has when it went live. Our delay from observation to documentation dropped drastically. It's almost an inverse relationship.”

Looking forward, Trias said, “This is just the beginning. A true assistant should go beyond documentation, redefining the way we deliver patient care. Imagine a tool that can instantly retrieve lab results with a simple voice command, adjust patient room devices like televisions anywhere in the hospital, help with language translation, or just quickly provide answers to hospital policies and procedures. Ava nurse assistant is that trusted partner supporting frontline staff, who dedicate themselves to delivering high quality care to our patients every single day.”

The improvement in documentation timeliness was reiterated by Andre Arsinian, a Data Intelligence Analyst II at Cedars-Sinai.  “You could right away see the effect that Aiva has when it went live. Our delay from observation to documentation dropped drastically. It's almost an inverse relationship.”

Looking forward, Trias said, “This is just the beginning. A true assistant should go beyond documentation, redefining the way we deliver patient care. Imagine a tool that can instantly retrieve lab results with a simple voice command, adjust patient room devices like televisions anywhere in the hospital, help with language translation, or just quickly provide answers to hospital policies and procedures. Ava nurse assistant is that trusted partner supporting frontline staff, who dedicate themselves to delivering high quality care to our patients every single day.”

Following Hain and Trias’s keynote, they were joined by other members of the Cedars-Sinai pilot team and three team members from BayCare Health, a 16-hospital health system located in the Central Florida and Tampa area, whose pilot is being conducted at St. Anthony's Hospital:  

  • Craig Anderson, Chief Innovation Officer
  • Jennifer Gavin-Lefort, Director of Nursing Systems & Resources
  • Joseph Sultan, Senior Innovation Analyst

Asked how voice charting become a top priority for BayCare, Anderson noted that BayCare President and CEO Stephanie Conners is a nurse, “so that role and everything they need is near and dear to her heart.”

“If you can find a way to save 5, 10, 15 minutes per nurse per day, times 10,000 nurses, you really start finding bottom line value.  You create that time to free up our nurses so they can spend their time with the patients rather than the administrative work.”

Following Hain and Trias’s keynote, they were joined by other members of the Cedars-Sinai pilot team and three team members from BayCare Health, a 16-hospital health system located in the Central Florida and Tampa area, whose pilot is being conducted at St. Anthony's Hospital:  

  • Craig Anderson, Chief Innovation Officer
  • Jennifer Gavin-Lefort, Director of Nursing Systems & Resources
  • Joseph Sultan, Senior Innovation Analyst

Asked how voice charting become a top priority for BayCare, Anderson noted that BayCare President and CEO Stephanie Conners is a nurse, “so that role and everything they need is near and dear to her heart.”

“If you can find a way to save 5, 10, 15 minutes per nurse per day, times 10,000 nurses, you really start finding bottom line value.  You create that time to free up our nurses so they can spend their time with the patients rather than the administrative work.”

Following Hain and Trias’s keynote, they were joined by other members of the Cedars-Sinai pilot team and three team members from BayCare Health, a 16-hospital health system located in the Central Florida and Tampa area, whose pilot is being conducted at St. Anthony's Hospital:  

  • Craig Anderson, Chief Innovation Officer
  • Jennifer Gavin-Lefort, Director of Nursing Systems & Resources
  • Joseph Sultan, Senior Innovation Analyst

Asked how voice charting become a top priority for BayCare, Anderson noted that BayCare President and CEO Stephanie Conners is a nurse, “so that role and everything they need is near and dear to her heart.”

“If you can find a way to save 5, 10, 15 minutes per nurse per day, times 10,000 nurses, you really start finding bottom line value.  You create that time to free up our nurses so they can spend their time with the patients rather than the administrative work.”

Following Hain and Trias’s keynote, they were joined by other members of the Cedars-Sinai pilot team and three team members from BayCare Health, a 16-hospital health system located in the Central Florida and Tampa area, whose pilot is being conducted at St. Anthony's Hospital:  

  • Craig Anderson, Chief Innovation Officer
  • Jennifer Gavin-Lefort, Director of Nursing Systems & Resources
  • Joseph Sultan, Senior Innovation Analyst

Asked how voice charting become a top priority for BayCare, Anderson noted that BayCare President and CEO Stephanie Conners is a nurse, “so that role and everything they need is near and dear to her heart.”

“If you can find a way to save 5, 10, 15 minutes per nurse per day, times 10,000 nurses, you really start finding bottom line value.  You create that time to free up our nurses so they can spend their time with the patients rather than the administrative work.”

Asked the same question about making voice charting a priority at Cedars-Sinai, Associate CIO Rachel Coren said, “we're all seeing a rapid introduction of AI and ambient technologies that are very focused on physician workflows and reducing burnout, which is wonderful, but we know nurses and other members of our care team also carry a tremendous burden.”

And even as much as we try to reduce the requirements for documentation, we just keep getting more rules and regs that we have to follow. So we're very excited about what we've learned, what we're experiencing and the potential for further opportunities to really help our staff do their job in an easier way.”

Here are some other themes and highlights from the Voice Charting panel and Q&A session that followed:

  • Ambient document for nurses vs physicians.  "A nurse's documentation, of course, is very different than a physician's”, said Gavin-Lefort from BayCare.  Nurses “are the ones that are looking at the everyday by-the-minute little things -- big things, too…the ADLs and education.”  She emphasized the importance of letting nurses do their charting in real-time – to get key data into the patient record for clinical decision-making – while physicians are more able to go back later to review their voice notes.

Asked the same question about making voice charting a priority at Cedars-Sinai, Associate CIO Rachel Coren said, “we're all seeing a rapid introduction of AI and ambient technologies that are very focused on physician workflows and reducing burnout, which is wonderful, but we know nurses and other members of our care team also carry a tremendous burden.”

And even as much as we try to reduce the requirements for documentation, we just keep getting more rules and regs that we have to follow. So we're very excited about what we've learned, what we're experiencing and the potential for further opportunities to really help our staff do their job in an easier way.”

Here are some other themes and highlights from the Voice Charting panel and Q&A session that followed:

  • Ambient document for nurses vs physicians.  "A nurse's documentation, of course, is very different than a physician's”, said Gavin-Lefort from BayCare.  Nurses “are the ones that are looking at the everyday by-the-minute little things -- big things, too…the ADLs and education.”  She emphasized the importance of letting nurses do their charting in real-time – to get key data into the patient record for clinical decision-making – while physicians are more able to go back later to review their voice notes.
  • Rollout science.  Both pilots were helped by first enlisting a limited number of superusers.  Lefort reported that her Informatics team constantly solicited feedback from those initial users, including a QR code they could use to submit comments on the fly.  Scott Mondejar, Assistant Nurse Manager on Cedars-Sinai’s pilot unit, described how deeply engaging his superusers led them to become champions and then helped foster healthy competition between them and the next wave of users – competition that played out on a leaderboard for the app that’s posted next to the nurses’ stations.
  • Implementation challenges.  
    • Interfaces time.  Both teams mentioned how busy their Interfaces teams are and how important it is to pull them in early.
    • Informatics investment.  Candice Ney, Clinical Informatics Manager at Cedars-Sinai, noted that Informatics needs to allocate meaningful time to the project, as well.  “Our clinical informaticists worked tirelessly.  Hours and hours of testing every single row, just making sure everything flowed right. And so that was a tremendous effort, and then creating the training to make sure that it was just right.”

Asked the same question about making voice charting a priority at Cedars-Sinai, Associate CIO Rachel Coren said, “we're all seeing a rapid introduction of AI and ambient technologies that are very focused on physician workflows and reducing burnout, which is wonderful, but we know nurses and other members of our care team also carry a tremendous burden.”

And even as much as we try to reduce the requirements for documentation, we just keep getting more rules and regs that we have to follow. So we're very excited about what we've learned, what we're experiencing and the potential for further opportunities to really help our staff do their job in an easier way.”

Here are some other themes and highlights from the Voice Charting panel and Q&A session that followed:

  • Ambient document for nurses vs physicians.  "A nurse's documentation, of course, is very different than a physician's”, said Gavin-Lefort from BayCare.  Nurses “are the ones that are looking at the everyday by-the-minute little things -- big things, too…the ADLs and education.”  She emphasized the importance of letting nurses do their charting in real-time – to get key data into the patient record for clinical decision-making – while physicians are more able to go back later to review their voice notes.

Asked the same question about making voice charting a priority at Cedars-Sinai, Associate CIO Rachel Coren said, “we're all seeing a rapid introduction of AI and ambient technologies that are very focused on physician workflows and reducing burnout, which is wonderful, but we know nurses and other members of our care team also carry a tremendous burden.”

And even as much as we try to reduce the requirements for documentation, we just keep getting more rules and regs that we have to follow. So we're very excited about what we've learned, what we're experiencing and the potential for further opportunities to really help our staff do their job in an easier way.”

Here are some other themes and highlights from the Voice Charting panel and Q&A session that followed:

  • Ambient document for nurses vs physicians.  "A nurse's documentation, of course, is very different than a physician's”, said Gavin-Lefort from BayCare.  Nurses “are the ones that are looking at the everyday by-the-minute little things -- big things, too…the ADLs and education.”  She emphasized the importance of letting nurses do their charting in real-time – to get key data into the patient record for clinical decision-making – while physicians are more able to go back later to review their voice notes.
  • Implementation challenges (cont).  
    • Changing habits.  Gavin-Lefort from BayCare noted that changing nurses’ routine of working on a computer isn’t necessarily simple, even if the benefit seems clear: “In the beginning we were a little nervous because we're not used to doing this. We need something in front of us to kind of guide us.  … But [in training sessions] we got right into it. It became very easy, very quickly.”  Also, Gavin-Lefort continued, “Aiva can help them [with how to use the app]. Just ask Aiva, 'What are the things that I can chart?'" 
    • Initial resistance.   Katherine Park, Clinical Informaticist at Cedars-Sinai, noted that you can run into resistance not just from users who aren’t tech savvy, but also from those who are. “Those who weren't familiar with technology were, of course, the most resistant, because they had prior difficulties with new technology. This demographic was usually older and had perhaps an accent. And then for those who are familiar with technology, actually, they had great ideas, but it also took a lot more convincing … because it needs to be a little bit more perfect for them to be able to adopt.”

  • Implementation challenges (cont).  
    • Changing habits.  Gavin-Lefort from BayCare noted that changing nurses’ routine of working on a computer isn’t necessarily simple, even if the benefit seems clear: “In the beginning we were a little nervous because we're not used to doing this. We need something in front of us to kind of guide us.  … But [in training sessions] we got right into it. It became very easy, very quickly.”  Also, Gavin-Lefort continued, “Aiva can help them [with how to use the app]. Just ask Aiva, 'What are the things that I can chart?'" 
    • Initial resistance.   Katherine Park, Clinical Informaticist at Cedars-Sinai, noted that you can run into resistance not just from users who aren’t tech savvy, but also from those who are. “Those who weren't familiar with technology were, of course, the most resistant, because they had prior difficulties with new technology. This demographic was usually older and had perhaps an accent. And then for those who are familiar with technology, actually, they had great ideas, but it also took a lot more convincing … because it needs to be a little bit more perfect for them to be able to adopt.”

  • Non-charting applications for voice assistance.  As Ryan Trias mentioned earlier, there are many other tasks that nurses could use help with.  Because Aiva integrates with most major inpatient systems, future releases of Nurse Assistant can provide conversational control for systems beyond charting.  When the panelists were asked which tasks Aiva should tackle first, several jumped out:
    • Reading from the EHR (not just writing to it) 
    • Notifications from the EHR
    • Interpreter services
    • Reminders
    • Policies & procedures
    • Work orders
    • Dietary orders
    • Shift changes
    • Smart Room devices like TVs, lights, blinds and thermostats.
  • Implementation challenges (cont).  
    • Changing habits.  Gavin-Lefort from BayCare noted that changing nurses’ routine of working on a computer isn’t necessarily simple, even if the benefit seems clear: “In the beginning we were a little nervous because we're not used to doing this. We need something in front of us to kind of guide us.  … But [in training sessions] we got right into it. It became very easy, very quickly.”  Also, Gavin-Lefort continued, “Aiva can help them [with how to use the app]. Just ask Aiva, 'What are the things that I can chart?'" 
    • Initial resistance.   Katherine Park, Clinical Informaticist at Cedars-Sinai, noted that you can run into resistance not just from users who aren’t tech savvy, but also from those who are. “Those who weren't familiar with technology were, of course, the most resistant, because they had prior difficulties with new technology. This demographic was usually older and had perhaps an accent. And then for those who are familiar with technology, actually, they had great ideas, but it also took a lot more convincing … because it needs to be a little bit more perfect for them to be able to adopt.”

  • Implementation challenges (cont).  
    • Changing habits.  Gavin-Lefort from BayCare noted that changing nurses’ routine of working on a computer isn’t necessarily simple, even if the benefit seems clear: “In the beginning we were a little nervous because we're not used to doing this. We need something in front of us to kind of guide us.  … But [in training sessions] we got right into it. It became very easy, very quickly.”  Also, Gavin-Lefort continued, “Aiva can help them [with how to use the app]. Just ask Aiva, 'What are the things that I can chart?'" 
    • Initial resistance.   Katherine Park, Clinical Informaticist at Cedars-Sinai, noted that you can run into resistance not just from users who aren’t tech savvy, but also from those who are. “Those who weren't familiar with technology were, of course, the most resistant, because they had prior difficulties with new technology. This demographic was usually older and had perhaps an accent. And then for those who are familiar with technology, actually, they had great ideas, but it also took a lot more convincing … because it needs to be a little bit more perfect for them to be able to adopt.”

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