Summary: Bridging IT & Clinical for Virtual Nursing Success
The on-demand webinar “Bridging IT and Clinical Worlds for Virtual Nursing Success,” hosted by the College of Healthcare Information Management Executives (CHIME), features insights from Lee Health’s System Director of Virtual Health and Telemedicine, Jon Witenko, Business Analyst Kimberly Gualt, and Caregility’s President and COO, Mike Brandofino. They discuss their experience implementing and scaling virtual nursing and the collaborative strategies necessary to ensure success.
Key Themes and Takeaways:
1. Cultivating Clinical and IT Alignment
Successful virtual nursing programs hinge on strong collaboration between IT and clinical teams.
The speakers stress the importance of mutual understanding, where IT appreciates the nuances of clinical workflows, and clinicians understand the technological capabilities and constraints.
2. Addressing Implementation Challenges
Common hurdles include resistance to change, technical barriers, and scalability concerns.
The session highlights lessons learned from overcoming these barriers, emphasizing the importance of phased rollouts and continuous feedback loops.
3. Seamless Clinical Workflow Integration
Integration is key to preventing disruption in day-to-day care delivery.
The discussion underscores designing solutions that complement, rather than complicate, existing workflows, ensuring minimal disruption to bedside care.
4. Virtual Nurse Training Strategies
Preparing nurses to adopt virtual care roles is essential.
Lee Health shares strategies for equipping virtual nurses with the skills to engage patients effectively through technology while maintaining empathy and clinical excellence.
5. Patient Impact
The program demonstrates measurable benefits for patients, including enhanced monitoring, reduced response times, and improved access to care.
The panelists emphasize maintaining the human touch even in a technology-driven model to improve patient satisfaction and outcomes.
6. Staff Reception
Ensuring team-wide support is a critical component of success.
The discussion touches on addressing skepticism, demonstrating the value of virtual nursing, and involving staff early in the process.
7. Evolving Role of Virtual Nursing
Virtual nursing is a scalable, cost-effective solution to address workforce shortages and rising patient acuity.
The conversation speculates on how the role might evolve with advancements in AI and telehealth technology, moving toward more proactive and preventive care models.
Insights for Healthcare Professionals
The on-demand webinar provides actionable insights, including:
Creating alignment frameworks to bring IT and clinical teams together.
Adopting an iterative approach to tech deployment, allowing for adjustments based on real-world use.
Leveraging metrics and data to measure success and identify areas for improvement.
This session ultimately highlights how fostering collaboration, planning for adaptability, and prioritizing patient and staff experiences are critical for achieving sustainable success in virtual nursing programs.
by Kedar Ganta, Chief Product and Engineering Officer, Caregility
This is my final post of the year, and I would like to take a moment to share some key highlights that reflect our commitment to innovation and continuous improvement.
In 2024, we successfully rolled out 20 releases including 6 major updates and 14 minor ones. These releases were designed to improve your experience and keep us moving forward. We also launched a new status page (https://status.caregility.com) to provide real-time updates on the status of the Caregility applications to always keep you informed about our platform’s reliability.
With the November 2024 release, we introduced a new virtual background feature in iConsult. This enhancement minimizes distractions by removing irrelevant background elements during virtual sessions. For now, you can blur or set a neutral color as your background, and in future releases, we will offer the ability to choose and personalize your background for a more tailored experience.
In iObserver, we made significant improvements to the way observers interact with live sessions. The recent release enables multi-camera streaming with independent 5x and 40x options on the APS 200 Duo and APS 100 Pro + Flex Cam endpoints, offering greater flexibility and detail. We also enhanced the Discharge List to provide increased visibility by tracking when and by whom patients are discharged. Color-coded tooltips and additional language phrases improve usability and accessibility.
iObserver 3.0 also introduces Admitted Patient Statistics to the Program List, offering quick insights into patients on the list and those under observation. Look out for even more enhancements, including real-time reporting on active sessions, device availability, and assignment metrics in future updates.
Meanwhile, the Admin Portal is evolving into a central command hub, making device management more intuitive. With new features like scheduling soft reboots on APS endpoints, we aim to streamline operations and minimize downtime to better support your needs.
As 2024 draws to a close, I want to thank you for your feedback and engagement throughout the year. Wishing you all a happy holiday season, and I look forward to continuing our conversation in the new year!
When you picture the hospital of the future, it’s hard to imagine patient rooms without remote monitoring, virtual observation and some form of AI as core capabilities. As health systems face continued financial and workforce pressures, that invariably leads to the question of how to modernize care. The inevitable conclusion is that it must involve patient rooms that are always connected and patient-aware.
Fortunately, the integration of virtual care and AI at the bedside is fueling a transformative shift in healthcare delivery that will allow for these types of patient rooms. Audio, video and sensor-based technologies are unlocking additional clinical insights and engagement avenues for care teams, creating a foundation for innovation. Inpatient care programs like virtual nursing, virtual sitting and virtual rounding are already helping health systems offset challenges while delivering significant benefits for patients and staff.
The challenge lies in navigating the path from today’s reality to widescale implementation among competing priorities and project budgets. This degree of transformation doesn’t happen overnight. As healthcare executives build their roadmap for modernizing care, they want evidence of key value drivers in their IT investments, balancing the cost of scaling implementation against near- and long-term goals. Understanding the economic impact of care programs is crucial for strategic planning and resource allocation.
To better understand the critical areas where healthcare organizations see return on investment (ROI) in technology-assisted clinical workflow optimization, Caregility and Sage Growth Partners partnered to examine trends and determine what kind of tool could help health systems support the mass deployment of modern technology in every patient room.
Caregility and Sage conducted in-depth interviews with leading health systems across the U.S. to identify where healthcare organizations are realizing ROI from inpatient virtual care initiatives. Three key areas of impact and one fundamental truth were uncovered. The fundamental truth is that there’s no silver bullet that provides all the real-dollar ROI that most chief financial officers (CFOs) are looking for. However, there are essential initial steps and building blocks that come together to create a strong foundation of economic value that leads to a bigger financial ROI.
These building blocks buy back time for staff, enabling them to focus on tasks that are more impactful. This also enables organizations to increase ratios where appropriate, which leads to real-dollar ROI.
The three areas of impact are:
1. Resource cost reduction
One of the most compelling drivers of economic impact from virtual acute-care models is the ability to reduce staffing resource costs, particularly in nursing. Virtual nursing offloads a significant portion of the administrative burden that falls on bedside nurses. By shifting tasks like admissions and discharges to virtual nurses, organizations are freeing up bedside nurses to field higher-value tasks. This recouped time reduces costs associated with incidental overtime for bedside nurses.
With the tools to redistribute clinical tasks in place, hospitals can optimize their workforce to reduce reliance on costly temporary staffing or agency nurses. Nurses report improved job satisfaction due to the collaborative care approach, leading to reduced turnover and recruitment costs. With average turnover costs per nurse totaling roughly $56,280, reducing turnover by just 10% can bring significant savings.
Telehealth-enabled acute care also allows health systems to extend the reach of physician specialists to satellite locations instead of hiring dedicated staff at sites with low utilization. Virtual engagement reduces the “windshield time” lost during commutes between locations.
2. Clinical cost deferment
Another recurring area of financial impact validated during research is the ability of virtual acute-care programs to help prevent hospital-acquired conditions, which add substantial costs to inpatient care. Health systems reported reductions in catheter-associated urinary tract infections (CAUTI), central line-associated bloodstream infections (CLABSI), pressure injuries and patient falls. These improvements are attributed to enhanced monitoring capabilities and greater adherence to clinical best practices made possible by the focused support of virtual clinicians.
Preventing these conditions reduces costs, shortens hospital stays and improves patient satisfaction and throughput. Hospitals can also avoid readmissions and associated costs by using virtual bedside engagement to enhance the discharge processes and ensure patients leave the hospital with better education and support.
Although this research initiative looked at acute virtual care’s impact on intervention in patient falls, CAUTI, CLABSI and pressure injuries specifically, additional patient outcomes stand to benefit from similar targeted clinical quality improvement efforts.
3. Savings from recouped bedside hours
Time is one of the most valuable commodities in healthcare. Virtual acute-care initiatives offer hospitals a way to reclaim bedside hours. Virtual nursing task redistribution allows bedside nurses to focus on direct patient care, working at the top of their license rather than being bogged down by administrative duties.
Hospitals report saving up to 25% of the time bedside nurses typically spend on documentation by fielding admissions virtually. Virtual discharges save bedside nurses up to 67% of the time typically spent on discharge paperwork. For the average hospital, this cumulative time savings translates to the equivalent of multiple full-time nursing employees.
While the economic impacts are compelling, the benefits of inpatient telehealth programs extend far beyond the bottom line. These initiatives create a ripple effect of positive outcomes that touch every aspect of healthcare delivery. Executives observed virtual acute-care wins that are harder to quantify financially, including the ability to retain experienced nurses nearing retirement by redeploying them to virtual roles. In addition, they reported seeing a 20% spike in patient satisfaction reflected in HCAHPS scores due to the uninterrupted nature of virtual interaction, as well as overwhelming staff satisfaction with on-demand access to remote clinical support at the bedside.
There is common consensus on the broad applicability of video-based engagement and AI-assisted monitoring at every bedside. The downstream effects on patient capacity and throughput and the implications for revised ratios built with cross-collaborative care teams in mind make a compelling case for continued expansion. The experience gained from inpatient virtual care programs also lays crucial groundwork for expanding into home-based care models.
These future-facing technologies are key to modernizing healthcare delivery and creating more proactive, continuous care models. It’s not just about meeting current operational demands – it’s about elevating what’s possible in healthcare. As care continues to evolve, organizations that have embraced virtual engagement and AI at the bedside will have the infrastructure and experience necessary to seamlessly incorporate new technologies and care models, ensuring they remain at the forefront of healthcare innovation.
Addressing Concerns of Losing Patient Connection with Virtual Care
As virtual care becomes a mainstay in healthcare delivery, a lingering concern remains: will this technology-driven approach reduce the personal connection between patients and providers? Market studies note that patients and providers feel virtual care offers significant convenience and benefits, but fear it risks feeling transactional when used in sensitive settings like inpatient care.
However, emerging data and real-world applications indicate that virtual care enhances—not diminishes—the patient experience, improving satisfaction, engagement, and continuity of care.
Evidence of Patient Satisfaction with Virtual Care
While concerns about depersonalization in healthcare delivery deserve careful consideration, a growing body of research challenges these assumptions. Multiple studies demonstrate that virtual care strengthens patient engagement and satisfaction:
A 2024 meta-analysis assessing patient satisfaction with telemedicine consultations offers evidence that patients generally exhibit high levels of satisfaction with the virtual model.
According to research from Statista, as of 2023, over half of patients surveyed in the United States indicated increased satisfaction with their care as a result of telemedicine.
Mayo Clinic research found that “quality metrics improved, along with significant improvement in patient satisfaction scores, as well as physician and support staff engagement and satisfaction” due to implementing advanced team-based care models that leverage in-room virtual care support.
After implementing a Virtual Nursing program, Florida-based Lee Health saw a 20% jump in patient satisfaction as reflected in HCAHPS scores as a result of enhancing the quality and immediacy of patient engagement. Patients report appreciating the availability of virtual nurses, who typically offer more focused interactions as they are less apt than bedside staff to be interrupted or juggling multiple tasks. “The personal nature of two-way video breaks through the glass,” said Lee Health’s System Director of Virtual Health and Telemedicine, Jon Witenko. “That human connection makes all the difference.”
A recent Becker’s Hospital Review article captures healthcare leaders’ sentiments that virtual care can enhance the overall patient experience by addressing bottlenecks in traditional workflows, “allowing nurses to have more time to engage meaningfully with patients.”
Collectively, the evidence highlights how virtual care drives better patient experience by fostering a sense of connectivity and attentiveness when implemented as part of a collaborative care model.
Virtual Acute Care’s Ripple Effect
Beyond direct patient interactions, virtual care offers additional benefits that indirectly improve patient satisfaction. One often-overlooked advantage is the boost in staff satisfaction. According to the American Association of Critical-Care Nurses (AACN), nurses in virtual care roles report feeling more fulfilled and supported, a factor that significantly enhances their interactions with patients. Happier, less overburdened nurses contribute to a more positive environment, creating a ripple effect of satisfaction that extends to patients.
Virtual care also facilitates greater patient-family engagement during inpatient stays. Relatives who may not be able to be physically present can join virtual consultations and discussions about care plans, promoting connection and involvement. This enhanced accessibility helps ease the emotional stress on patients and families, leading to greater overall satisfaction and outcomes.
Finally, virtual care solutions provide continuity of care that is difficult to achieve with in-person visits alone. For instance, remote engagement tools allow providers to track patients’ progress post-discharge, offering patients and families a reliable safety net. This level of oversight reassures patients, reducing anxiety about recovery and fostering a feeling of being genuinely cared for.
Embracing a Connected Future in Healthcare
As studies and real-world applications demonstrate, virtual care has tremendous potential to enhance, not hinder, the personal connection in healthcare. Improved patient satisfaction is one factor among a growing list of benefits leading health systems to implement virtual engagement at the hospital bedside. By integrating telehealth thoughtfully into clinical workflows, health systems can improve patient and family engagement and deliver a care experience that feels deeply connected and responsive.
Looking to enhance your patient communication and engagement strategy with virtual care? Schedule a call with one of our telehealth specialists today.
Trends from Becker’s, HLTH, and KLAS
Recent health conference conversations point to a new wave of priorities in healthcare technology. Over the past few weeks, Caregility executives attended Becker’s, HLTH, and KLAS events where AI and nurse enablement were repeatedly underscored as crucial factors in successful digital health transformation. The events provided valuable insights into how healthcare leaders are using technology to support clinical and operational goals, from addressing documentation burdens to building resilience against security risks. Here are some of our team’s key takeaways.
Mike Brandofino, President & COO Event: Becker’s 9th Annual Health IT + Digital Health + RCM Conference
“Telenursing was top of mind for a lot of folks at Becker’s. There were quite a few discussions about what virtual nursing programs can do and how to effectively deploy technology without negatively impacting bedside teams. Just throwing new technology at problems does not move the needle. Healthcare organizations are taking a more thoughtful approach to collaborative virtual care models.
There’s still a lot of confusion about what to do with AI. There’s concern about the validity of leveraging it in workflows in a way that saves time. The biggest item that healthcare providers are looking for is that documentation piece. Nurse notes, specifically. One session noted that the average nurse spends about four hours of their day documenting care. Many health systems are paying overtime hours for nurses to stay after their shift to do documentation. If health systems are going to get to better ratios, they’re going to need to fix that problem.”
Kedar Ganta, Chief Product & Engineering Officer Event: KLAS Digital Health Investment Symposium (DHIS) 2024
“Financial margin strains and cybersecurity threats dominated conversations at the KLAS DHIS event. There is growing recognition that navigating the next Black Swan event will require strong planning, governance, redundancies, operational resiliency, and investment in technology. Naturally, AI and cybersecurity repeatedly came up in discussions about building the resilience needed to withstand future disruptions. The recent events involving Change Healthcare and CrowdStrike heightened cybersecurity awareness across the industry. Organizations are actively developing playbooks to train for downtimes and implementing workarounds to ensure resiliency.
There is genuine interest and excitement about the potential of AI, but payer and provider attendees didn’t mince words about the challenges. There is little appetite for ‘black box’ AI and a strong call for greater transparency into what goes into AI. There is significant optimism about ambient speech technology for documentation. Most felt comfortable with the application of AI in revenue cycle management, patient communication, and imaging, but remained cautious about adoption in clinical workspaces.
Overall, there is a strong appetite for adopting technology that drives clinical efficiency and provides performance insights while ensuring security. Organizations are streamlining their tech stacks, prioritizing existing vendors, and leaning on their EHR vendors more to support clinical workflow optimization. Now more than ever, potential solutions are being evaluated through a monetary lens. Organizations recognize that virtual care is here to stay and are taking a strategic approach to broader implementation and governance.”
Jenna Walls, VP, Business Development & Strategic Alliances Event: HLTH 2024
“At HLTH, it was clear that AI is taking center stage in healthcare, but it’s important to note the shift in sentiment, particularly compared to just six months ago at ViVE. We’re seeing a more comfortable embrace of operational AI, but the industry remains cautious with clinical AI. That stance reflects our own approach to prioritizing responsible, incremental adoption and focusing on how AI enhances workflows rather than simply deploying new technology.
One of the standout discussions was around ambient scribing, but the conversation largely focused on relieving physicians’ burdens. We heard a strong call for similar support for nursing. It was great validation for what we’re addressing at Caregility. Our work with partners to create solutions that serve bedside teams—taking on tasks they don’t want to do or don’t have time to do—is where we see AI making the most positive impact.”
Lee Health Expands Virtual Nursing Program with Caregility
The Florida-based health system will significantly expand inpatient telehealth to connect hospital patients and staff with remote nurse resources.
Wall, NJ and Fort Myers, FL (Oct 16, 2024) – Lee Health, one of Florida’s largest health systems, is significantly expanding its Virtual Nursing Program with Caregility, a leading enterprise telehealth company.
Through the initiative, Lee Health continues its commitment to modernizing care delivery, enhancing clinical efficiency, and improving patient and staff satisfaction. The latest expansion includes the deployment of Caregility APS200 Duo dual-camera telehealth devices, building on the existing fleet of telehealth wall systems and carts to more than double the health system’s inpatient virtual care footprint. With this expansion, Lee Health’s virtual acute care infrastructure will cover more than half of the health system’s hospital beds, equipping nearly 1,000 patient rooms with bedside telehealth technology.
“The growth of our telehealth options accelerated during the COVID-19 pandemic out of necessity to ensure patients received important care safely and we were able to ensure continuous support for our medical teams,” said Rick Schooler, Chief Information Officer of Lee Health. “Through our expansion since then, we’ve evolved our virtual care capabilities to include an award-winning inpatient virtual observation program and now virtual nursing to improve patient outcomes utilizing available, improved technology to help our clinical staff.”
“This expansion is an important part of Lee Health’s broader strategy to modernize healthcare delivery,” said Jennifer Higgins, DNP, RN, NEA-BC, Chief Nursing Officer of Lee Health. “Our virtual nursing program introduces innovative possibilities in patient care workflows by connecting the care in the complex patient journey. From admissions and discharges to continuous patient monitoring, patients benefit from an additional team member dedicated to their care. We anticipate this additionally offering our nurses time for patients that need more hands-on care.”
“Having eyes and ears in every room enables remote caregivers to respond more effectively to the needs of patients and bedside staff across the enterprise,” said Wendy Deibert, Chief Nursing Officer at Caregility. “This expansion represents a significant step forward in Lee Health’s digital health strategy, paving the way for future innovation at the intersection of virtual care, bedside care, and AI, and we’re honored to support their mission to advance the art of what’s possible in healthcare delivery.”
As a foundational partner, Caregility has worked closely with Lee Health to create a future-proof solution that supports a broad array of clinical workflows, offers AI capabilities, and can support local edge processing. The Caregility Cloud™ virtual care platform serves as the backbone for all of Lee Health’s virtual care programs.
Lee Health’s investment scales its virtual nursing program, supported by Caregility’s unique remote fleet management tools, which mitigate device support hurdles and improve operations. With around-the-clock monitoring and support, as well as seamless software updates via Caregility’s cloud-based administration portal, Lee Health can ensure that its telehealth devices remain operational with minimal on-site maintenance requirements.
“With our edge-processing, dual-camera APS200 Duo devices that support multiple concurrent workflows, we have built a commercial offering designed to be deployed at scale,” said Ron Gaboury, CEO of Caregility. “Our mission with Lee Health and other customers is to set the foundation for long-term growth and hospital-room-of-the-future innovation. This empowers care teams to maximize virtual care workflows while reducing up-front costs and operational challenges associated with maintaining a device in every room.”
About Lee Health Since the opening of the first hospital in 1916, Lee Health has been a healthcare leader in Southwest Florida, constantly evolving to meet the needs of the community. A non-profit, integrated healthcare services organization, Lee Health is committed to the well-being of every individual served, focused on healthy living and maintaining good health. Healthcare services are conveniently located throughout the community in four acute care hospitals, two specialty hospitals, outpatient centers, walk-in medical centers, primary care and specialty physician practices, and other services across the continuum of care. Learn more at www.LeeHealth.org.
About Caregility Caregility (caregility.com) is a telehealth solution provider connecting care everywhere. Designated as the Best in KLAS® Virtual Care Platform (non-EMR) in 2021, 2022, and 2023, Caregility Cloud™ brings bedside care, virtual encounters, and AI capabilities together at the point of care. Doctors, nurses, and patients around the world rely on our intelligent telehealth edge devices and virtual nursing, observation, and engagement applications to enhance clinical insights, patient safety, and efficiency. Trusted by over 75 health systems, deployed in more than 1,000 hospitals, and supporting over 30,000 connected devices and millions of virtual sessions annually, Caregility is helping transform healthcare delivery across inpatient, outpatient, and home settings.
When evaluating AI solutions, it’s vital to ensure that technologies align with your healthcare organization’s needs and patient safety standards. As you navigate the complexities of AI integration, these questions are designed to help you thoughtfully evaluate tools.
Clinical Best Practices
How does the solution align with established clinical guidelines and standards of care?
How does the solution integrate with established clinical workflows and technologies?
What resources and training are provided to support operational resilience and user adoption?
What is the process for ensuring patient awareness and consent regarding the use of AI in their care?
Technical Best Practices
Can you explain how your AI models make decisions in a transparent, understandable way?
What testing processes are in place to validate that the AI’s decisions are sound?
How do you handle model updates or retraining to avoid clinical risks and disruption?
What are the infrastructure requirements to deploy the AI solution at scale?
Data Privacy and Security
Can you explain how your AI models make decisions in a transparent, understandable way?
What testing processes are in place to validate that the AI’s decisions are sound?
How do you handle model updates or retraining to avoid clinical risks and disruption?
What are the infrastructure requirements to deploy the AI solution at scale?
Return on Value
What is the total cost of ownership, including implementation, licensing, and support?
What are your plans for future development of this and other AI solutions?
Learn more
Set Up a Discovery Call
Caregility is here to help you implement a responsible Al strategy that enhances patient and staff experience while maintaining the highest care standards. Explore how our solutions seamlessly integrate with your existing workflows, safeguard patient data, and support your clinical teams.
When Virtual Nursing and AI Collide: Q&A with Mary Washington Healthcare
In our recent webinar When Virtual Nursing + AI Collide: Lessons from the Trenches, Mary Washinton Healthcare’s AVP of Hospital Operations Debra Marinari and Information Systems Analyst Trudy Osborne sat down with Caregility CNO Wendy Deibert to discuss their journey integrating remote nurses and artificial intelligence into inpatient care. Here are some key takeaways and practical strategies shared by our expert panelists.
1. How did you start your virtual nursing journey, and what were the initial challenges?
Mary Washington Healthcare began its virtual nursing journey a little over two years ago to modernize the health system’s approach to patient care. Reflecting on her 30-year nursing career, Marinari noted that many of the processes they used in the past would be considered outdated by today’s standards. She sees Virtual Nursing and AI as natural next steps in the health system’s journey to safer, more efficient patient care. One early challenge was getting experienced nurses to embrace the technology, but once they saw the benefits of improved support during staffing shortages, adoption quickly followed.
2. How is telehealth helping make care teams more agile?
Marinari and Osborne emphasized that telehealth has enhanced their ability to iterate quickly and uncover new opportunities for efficiency gains in nursing workflows. With a centralized Virtual Nursing hub on-site, remote nurses can triage and respond to inbound calls from the bedside, leaning on built-in backup coverage when multiple requests come in simultaneously. Mary Washington has seen improvements in nurse turnover rates and staff retention by implementing Virtual Nursing.
3. What workflows do Virtual Nursing and AI support?
In addition to supporting virtual admissions, discharges, and second signature verifications, virtual nurses also play a crucial role in supporting specialized workflows. For instance, virtual nurses can easily support MRI checklists and help determine the model of medical device (i.e. pacemakers) a patient has before procedures. The integration of Social Determinants of Health (SDOH) questionnaires into the virtual admissions process has increased completion rates to 98%, a dramatic improvement from before Virtual Nursing implementation. These workflows help ensure high-quality care and compliance.
4. How do you manage staffing and nurse-to-patient ratios for your Virtual Nursing program?
Mary Washington’s Virtual Nursing team is staffed with three virtual nurses per 12-hour shift, operating 24/7. The full-time roles were hired specifically for Virtual Nursing, with a minimum of two years of direct nursing experience required. Initially, the team was aligned by unit but later pivoted to a triage model that allows remote nurses to handle calls across multiple units as they come in. This flexibility has been key to managing staffing efficiently. The health system opted to add extra staffing support during peak hours when patient activity picks up between 11 am and 11 pm.
5. What platforms and AI tools are integrated with your Virtual Nursing program?
Osborne noted that the organization uses Epic for electronic health records, with virtual nurses leveraging secure chat within Epic to keep care teams connected. Mary Washington is in the process of integrating Critical Alert as their nurse call platform. Additionally, the organization is exploring health AI solutions like computer vision and ambient listening to assist with fall prevention and other early patient interventions. They are also lab-testing devices for contactless patient vital sign monitoring to improve early detection of patient deterioration and health issues.
6. How have Virtual Nursing and AI impacted patient care and staff efficiency?
One benefit of adding a remote nurse component to bedside care teams has been reduced documentation time, which has been a pain point for many nurses. By reassigning routine tasks, bedside nurses can focus more on direct patient care while remote nurses streamline workflows due to fewer interruptions. Although pilot programs are still in the early stages, the healthcare organization is excited about the promise of AI applications in areas like fall prevention and vital sign trending, which can further improve patient safety and nurse satisfaction.
7. Have patients or staff expressed concerns about virtual nursing or AI?
Marinari noted that patient resistance to Virtual Nursing has been minimal, with only one case involving a mental health patient who preferred in-person care. The staff’s attitude toward Virtual Nursing and AI has become increasingly positive, particularly as Mary Washington has fine-tuned its remote support processes over the last year. Marinari and Osborne actively work with nursing staff to continue to iterate and identify new workflows.
8. Are there specific metrics you’re tracking to measure success?
Since implementing Virtual Nursing, nurse satisfaction has improved significantly, and documentation time has decreased, both of which have been major wins for Mary Washington. The organization has also expanded its Virtual Nursing program into the emergency department and is actively tracking metrics related to nurse retention, patient outcomes, and fall rates to assess the program’s ongoing success.
9. What hardware supports your Virtual Nursing and AI implementation?
Dual-camera APS200 telehealth edge devices from Caregility, which include 40x zoom, far-end pan/tilt/zoom video capabilities, and night vision, are deployed in patient rooms to facilitate virtual nurse engagement. Bedside staff can press a vLert button to request remote nurse support. A minimalist, ceiling-mounted radar puck device supports contactless vitals capture. Osborne appreciates that deployment was straightforward, with centralized device management and strong vendor support throughout the process. The organization has also installed anti-ligature devices in the emergency department and is exploring facial scanning technology as a potential tool to support ED triage. The use of advanced hardware continues to evolve as the VN program expands.
10. What’s next for your Virtual Nursing and AI journey?
Looking ahead, Marinari expressed excitement about expanding AI capabilities, particularly in the area of computer vision for fall prevention. While the organization has made strides in reducing fall rates, this remains an area of focus, and they believe AI can further enhance early intervention. Additionally, the team is testing contactless devices that can provide early indicators of patient health trends, which they hope will lead to improved patient outcomes. They are also exploring new use cases in the emergency department and continue to work on integrating AI tools with existing platforms like Epic.
Do you have additional questions about Virtual Nursing and AI? Set up a discovery call to connect with our team of telehealth specialists and customer referral sites.
What’s New: Caregility September 2024 Update
Author: Kedar Ganta, Chief Product and Engineering Officer, Caregility
In my last post, I introduced our new family of dual-camera telehealth devices. Today, I want to share about additional workflow enhancements made possible through our ongoing platform innovation and integrations with new ecosystem partners.
iConsult
Our recent partnerships with Sonifi and Cyracom significantly enhance inpatient workflows with iConsult. Integration with Sonifi’s interactive patient engagement solutions offers patients a more comfortable and satisfying experience directly in their rooms. Meanwhile, Cyracom’s on-demand language interpretation services within iConsult effectively bridge language barriers and improve overall quality of care. iConsult now makes it easier to identify the location of patients using interpreter services, simplifying the internal billing process and improving overall efficiency.
iConsult P2P
In our outpatient iConsult P2P solution, the new polling feature enables group outpatient visits to become more dynamic and interactive. This allows healthcare teams to collect real-time feedback on patient needs, concerns, and preferences.
Also, don’t miss out on experiencing the AI-driven vitals scanning available within our P2P application. Using non-invasive computer vision technology, P2P analyzes a video stream of a patient’s face to measure vital signs such as heart rate, blood pressure, and respiratory rate.
iObserver
With the September 2024 release, iObserver has been enhanced with a new session transfer feature that maintains the same layout and patient tile location, providing a familiar and intuitive experience for virtual observers. These design improvements reduce cognitive overload and guide observers seamlessly through program list loading and session termination. Additionally, iObserver now provides insights into observer performance with metrics on virtual observer shift options, including intervention types and phrases.
Admin Portal
The success of your virtual care programs relies on visibility into your telehealth wall systems and carts. Our Admin Portal now serves as a command center, providing this visibility while facilitating fleet management. Admins can manage devices and perform soft reboots and seamless upgrades while filtering user accounts and devices by their associated programs.
Stay tuned for more updates as we continue to innovate and enhance workflows!
As in almost every aspect of life, Artificial Intelligence (AI) has entered the healthcare space, driving healthcare leaders to simultaneously be optimistic and concerned. The potential for AI to modernize care delivery and deliver on the promise of improving patient outcomes, increasing caregiver efficiency, and allowing practitioners to work at the top of their certifications is garnering understandable attention. However, like an iceberg, there is much more beneath the surface to consider before diving into AI adoption.
The Hidden Layers of Health AI
As we approach the AI iceberg, it’s imperative to consider the unseen, equally important, and often challenging aspects of effective implementation. The healthcare AI market is nascent and in flux, as evidenced by the spate of recent acquisitions, company failures, and startups entering the market. With regulatory frameworks still pending, healthcare AI remains a moving target. A measured approach to adoption is crucial, particularly in the high-stakes world of patient care, where poor execution will cost money and can put programs and patient lives at risk.
On the surface is the shiny object called Artificial Intelligence, but right out of the gate, a great deal of technology that is touted as AI is nothing more than automated data gathering with some logic around what to do when certain data is captured. While this can still prove to be valuable and in some cases, even more impactful than true AI, it should be considered as a different potential tool.
True AI will certainly capture data, but the difference is what is being done with that data and what inferences are deduced from comparing that data against a proven historical model to provide predictive analysis. That predictive analysis can be in the form of a diagnosis, a recommended care plan, or an alert indicating patient decline. The permutations are endless but what all AI engines have in common is the need to compare current data against known models. AI designed to learn will add new data to the model to continue to learn and enhance the accuracy.
Responsible health AI implementation warrants a look below the surface to expose the hidden challenges and considerations when evaluating technology for use in healthcare.
Data Model Considerations
As mentioned above, the success of AI in healthcare depends largely on the quality of the training data used to develop models. Data quality, representation across diverse patient populations, and model accuracy are vital to ensuring that AI systems can be trusted to make sound clinical decisions without bias. Health systems should require transparency from AI vendors and rigorous testing to ensure that models are accurate and support reliable outcomes. It is important to ask critical questions including: How was the model built? Where did the data come from? Will you be using my data? Is the data anonymized? Where is the data stored? Can you opt out of having your data used? The bottom line is, the data model is what drives the accuracy of an AI engine, and the answers to these questions will provide valuable insight on the viability of the engine.
For AI to be effective, it must be embraced by staff. There is often apprehension that AI will replace human workers. It’s important to implement AI in a way that is clinically impactful, enhances workflows, and minimizes disruption. A key question to ask clinical leadership when evaluating AI technology is, “Does it add value?” This value can come in the form of decision support, productivity gains, or actionable information. The question to ask the business is whether this is worth paying for, and if so, how much.
As an example, there is AI technology that can count the number of patient coughs per hour and provide an alert on the frequency increasing and the probable cause of the cough. Is this valuable? Who will get this information? Will it create false alerts from visitors coughing? This is one example, and one you may find value in, but ask the challenging questions and think through the impact on the clinical team, the volume of potential data and alerts, and how this will fit into the operational flow. And also, is it valuable enough to pay for the service?
AI solutions can generate large volumes of protected health information (PHI), adding to patient data vulnerability. Safeguarding the PHI generated and processed by health AI solutions is paramount. Solutions that support local edge processing can enhance security by keeping PHI within the confines of the healthcare facility, minimizing the transmission of sensitive information over the internet.
Additionally, the data captured by AI should be used responsibly. The data required for models to support machine learning AI means the solution provider will want to leverage data from your patients. You should have the option to opt out of this data participation and if you do opt in, you must be confident in how this data is being handled and protected.
This plays into another critical component of the use of AI in healthcare: patient acceptance. Implementing AI raises questions about patient rights, awareness, and consent. Health systems should consider provisions for offering patients insight into the AI solutions being used by the care facility and offer clear patient opt-out options when applicable.
I have had numerous conversations with healthcare executives and innovation teams across the country, and there is an often glaring disconnect between them and the clinical team on the floor about what is feasible. There is an overwhelming desire to expand nurse-to-patient ratios and AI is seen as the panacea for the staffing shortages and high cost of care. However, what many fail to realize is that there are a number of potential logistical challenges that can derail the intended benefits of AI. The potential for a massive amount of information and alerts that need to go somewhere can lead to caregivers becoming desensitized and potentially missing critical warnings. Evaluation of any AI solutions must include understanding the impact on the clinical team and the logistics of fitting it into the workflows as an augmentation.
AI implementation in healthcare is not a one-size-fits-all proposition. Scalable, multi-solution setups require flexible foundational infrastructure that can support a variety of technologies, both native and third-party, on-premises and cloud-based. As the market evolves, health systems will want to avoid getting locked into siloed solutions that may become obsolete as technology advances. Agile infrastructure that allows for adaptability and growth is key, enabling organizations to integrate new AI tools as they emerge and extend use cases where it makes sense.
Due to the processing power required and the massive amount of data required by AI engines, many providers utilize cloud-based solutions. Understanding the impact on your network and the amount of data being transmitted can be an important aspect of determining if the solution can scale.
AI is undeniably the shiny new object in healthcare, but it’s really not about technology. It’s about our ability to create solutions that solve problems for caregivers. We’re standing at a technological pivot point in healthcare, and leaders must approach AI implementation with open eyes, looking beyond the hype to understand the full scope of challenges and opportunities that come with implementation.
Field testing and clinical feedback are essential to ensure that AI tools meet the real-world needs of healthcare professionals. This is not a race to adopt the latest technology. It is an intentional move toward more modern, future-proof care delivery models that better serve patients and healthcare organizations. By taking a measured, thoughtful approach to AI implementation, health systems can navigate the hidden challenges of the AI iceberg and chart a course toward intelligent, truly transformative care.
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