Sustainable staffing is the topic of the hour for most healthcare organizations, particularly for nursing teams. Without replacement levels of new nursing graduates and a mass exodus of experienced nurses choosing to retire throughout the pandemic, the nursing burnout cycle has been building to more of a fever pitch. What’s more, with staffing challenges for other hands-on roles like CNAs and nurse technicians, more and more tasks are falling to overburdened nursing teams. Chief Nursing Officers are looking for answers, not just to ensure that their hospitals have coverage, but also to make the environment their nurses work in supportive, effective, and efficient—without breaking budgets either.
In a time where we need more humans, tech tools that utilize artificial intelligence (AI) can bridge the gap and create more efficient processes, increased patient safety, and less stress on nursing teams. Teams that are integrated with technology can become more flexible and positioned to succeed as more and more tech is used in acute care. But choosing artificial intelligence technology goes a step further by reducing the known issues with patient monitoring like false alarms. Currently, administrators believe that nursing teams may be dealing with as much as 72%-99% false alarms from patient monitoring equipment.
AI tech can provide nuanced alerts that are much more accurate than the standard pressure alarms used in most hospitals. Taking an average response time of 2 minutes per false alarm, nurses can be wasting a cumulative 10 hours of time per day across 100 beds. AI tools like VSTOne, however, are far more accurate because it detects specific movement patterns, instead of reacting to weight shifting like pressure pads do.
What’s more, AI can cut down task redistribution that makes burnout worse, without incurring high costs. Telesitters have been a recent method of fall prevention, but no matter where the telesitter is located, either onsite or off, their labor must still be paid for. Even at a ratio of 1:10, this results in a significant financial cost to a hospital. In addition, if the sitter positions cannot be filled, floor staff like CNAs will still need to be placed on sitting duty, leaving nurses to pick up the tasks that they cannot perform.
AI monitoring platforms like VSTOne protect teams from coverage breakdown and the cost of adding 10 additional sitters to the cost of patient care. By removing 24/7 monitoring tasks from the shoulders of floor staff, teams are able to use their valuable skills to perform care, and not wait for a need to arise.