CNOs must develop strategies to successfully overcome these obstacles to build sustainable AI integration and virtual nursing programs.
Adopting technologies like AI and virtual nursing take strategic investment, careful planning, and buy-in from nursing staff.
However, as these technologies evolve and become integrated into the industry, leaders are running into several hurdles.
For virtual nursing, the trouble lies mainly with hospital infrastructure. For many CNOs and digital transformation leaders, the initial decision to go with mobile carts or in-room wired setups can seemingly set the stage for success or failure of the initiative. The vendor selection process can also be tedious, since there are many similar, yet different solutions that can either be rented or bought.
When it comes to AI, the issue lies with workforce anxiety and pushbacks from nurses who are concerned about patient safety and the longevity of their own positions. AI technology itself is also still in its infancy, in many ways. While there are some iterations of AI that are reliable and have already been in healthcare for years, the industry is still learning the boundaries and efficacy of generative AI.
Both technologies promise improvements in efficiency, time given back to the nurse at the bedside, and relief from documentation burdens. However, both mean changes in workflow and education for bedside nurses, and a potentially difficult period of transition while adoption takes place.
Effectively integrating technology
So, as hospitals face multiple integration challenges with AI and virtual nursing models, from technology infrastructure to workforce resistance, how can CNOs help?
The next webinar in our Winning Edge series will address the most significant barriers, including system interoperability, workflow redesign, staff skepticism, and technical literacy gaps, while providing practical strategies and case examples of organizations that have successfully overcome these obstacles to build sustainable AI integration and virtual nursing programs.
Our distinguished panel includes:
- Laura Rashleger, VP Nursing Operations and Virtual Nursing, Advocate Health
- Yuri Mykoo, SVP and CNO, Tampa General Hospital
- G Hatfield, Event Moderator and HealthLeaders CNO Editor
This isn’t just another webinar—it’s your chance to learn from the best in the business and walk away with strategies you can implement immediately.
Join us as we face the problems, share solutions, and help you reboot your technology adoption strategy.
Register here today to reserve your spot.
G Hatfield is the CNO editor for HealthLeaders.
KEY TAKEAWAYS
Some of the biggest challenges with virtual nursing and AI adoption include system interoperability, workflow redesign, staff skepticism, and technical literacy gaps.
Both technologies promise improvements in efficiency and time given back to the nurse at the bedside, and relief from documentation burdens, but both mean changes in workflow and education for bedside nurses.