Cassie Solomon
May 8 · 14 min read


  • As the amount of data available to care for patients increases exponentially, machine learning (ML) and artificial intelligence (AI) will become necessary, trusted and critically important members of the augmented care team.
  • As ML and AI-infused technology becomes commonplace, decisions about diagnosis and care treatment planning will increasingly be made by nurses; some decisions will even be made by LPN’s, community health workers and patients augmented with these tools.
  • The location of care is rapidly moving out of the acute care setting and the clinic into the community and into people’s homes. Patients and their caregivers will be empowered to use data supported by telepresence to take a much more active role in their own care. Nursing education must keep pace with this shift, providing ways to learn and train outside the hospital.
  • Nursing education must also double down on teaching informatics and technology courses to prepare nurses for the practice of the future.
  • Workforce development efforts will be critical to upskill the current nursing workforce, which is composed of digital immigrants and digital natives, each of whom will need to be taught differently.
  • Inter-professional education and training will be key to understanding the way that technology shifts the roles on the care team.
  • To speed the time to adoption of new technology nurses must become technology leaders and change agents.


Cassie Solomon

Written by

Author of “Leading Successful Change,” adjunct professor at Wharton, passionate about artificial intelligence and technology and the way they reshape work.

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