
Sign up to save your podcasts
Or


In this episode of Elevate Care, hosts Kerry Perez, Nishan Sivathasan, and Liz Cunningham engage in a roundtable discussion about the evolving landscape of healthcare staffing models. They explore the relevance of traditional 13-week assignments, the demand for flexibility among clinicians, and the integration of virtual nursing and AI technologies. The conversation highlights the importance of adapting to workforce preferences and the potential for innovative care teams that leverage technology to enhance patient care and clinician satisfaction.
Chapters
Sponsors:
We're proudly sponsored by AMN Healthcare, the leader in healthcare staffing and workforce solutions. Explore their services at AMN Healthcare.
Learn how AMN Healthcare's workforce flexibility technology helps health systems cut costs and improve efficiency. Click here to explore the case study and discover smarter ways to manage your resources!
Discover how WorkWise is redefining workforce management for healthcare.
Visit workwise.amnhealthcare.com to learn more.
About The Show:
Elevate Care delves into the latest trends, thinking, and best practices shaping the landscape of healthcare. From total talent management to solutions and strategies to expand the reach of care, we discuss methods to enable high quality, flexible workforce and care delivery. We will discuss the latest advancements in technology, the impact of emerging models and settings, physical and virtual, and address strategies to identify and obtain an optimal workforce mix. Tune in to gain valuable insights from thought leaders focused on improving healthcare quality, workforce well-being, and patient outcomes. Learn more about the show here.
Connect with Our Hosts:
Kerry on LinkedIn
Nishan on LinkedIn
Liz on LinkedIn
Find Us On:
Website
YouTube
Spotify
Apple
X
Facebook
Powered by AMN Healthcare
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By AMN Healthcare5
3232 ratings
In this episode of Elevate Care, hosts Kerry Perez, Nishan Sivathasan, and Liz Cunningham engage in a roundtable discussion about the evolving landscape of healthcare staffing models. They explore the relevance of traditional 13-week assignments, the demand for flexibility among clinicians, and the integration of virtual nursing and AI technologies. The conversation highlights the importance of adapting to workforce preferences and the potential for innovative care teams that leverage technology to enhance patient care and clinician satisfaction.
Chapters
Sponsors:
We're proudly sponsored by AMN Healthcare, the leader in healthcare staffing and workforce solutions. Explore their services at AMN Healthcare.
Learn how AMN Healthcare's workforce flexibility technology helps health systems cut costs and improve efficiency. Click here to explore the case study and discover smarter ways to manage your resources!
Discover how WorkWise is redefining workforce management for healthcare.
Visit workwise.amnhealthcare.com to learn more.
About The Show:
Elevate Care delves into the latest trends, thinking, and best practices shaping the landscape of healthcare. From total talent management to solutions and strategies to expand the reach of care, we discuss methods to enable high quality, flexible workforce and care delivery. We will discuss the latest advancements in technology, the impact of emerging models and settings, physical and virtual, and address strategies to identify and obtain an optimal workforce mix. Tune in to gain valuable insights from thought leaders focused on improving healthcare quality, workforce well-being, and patient outcomes. Learn more about the show here.
Connect with Our Hosts:
Kerry on LinkedIn
Nishan on LinkedIn
Liz on LinkedIn
Find Us On:
Website
YouTube
Spotify
Apple
X
Facebook
Powered by AMN Healthcare
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

27,877 Listeners

112,454 Listeners

39 Listeners

25 Listeners