Episode 281: Nursing’s Role in AI in Health Care The Oncology Nursing Podcast

“I think the horizon, the trends that we are seeing today, are indicating that this technology is just going to explode and be integrated into everything we do in nursing or beyond. Many of the things with nursing are going to change significantly for us, which has already started,” Maxim Topaz, PhD, MA, RN, FAAN, Elizabeth Standish Gill Associate Professor of Nursing at the School of Nursing and The Data Science Institute at Columbia University in New York, NY, and senior scientist at VNS Health, told Jaime Weimer, MSN, RN, AGCNS-BS, AOCNS®, manager of oncology nursing practice at ONS, during a discussion about nursing’s contributions and opportunities to shape in AI in health care. 

You can earn free NCPD contact hours after listening to this episode and completing the evaluation linked below.  

Music Credit: “Fireflies and Stardust” by Kevin MacLeod 

Licensed under Creative Commons by Attribution 3.0 

Earn 0.75 NCPD contact hours of nursing continuing professional development (NCPD), which may be applied to the nursing practice, oncology nursing practice, or professional practice/performance ILNA categories, by listening to the full recording and completing an evaluation at myoutcomes.ons.org by October 13, 2025. The planners and faculty for this episode have no relevant financial relationships with ineligible companies to disclose. ONS is accredited as a provider of NCPD by the American Nurses Credentialing Center’s Commission on Accreditation. 

Learning outcome: The learner will report an increase in knowledge related to the nurse’s role with AI in health care. 

Episode Notes 

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Oncology Nursing Podcast:
Episode 131: NLM Is Changing Health Care Through the Power of Data 

ONS Voice articles:
New Technology Tools Help Oncology APRNs Improve Patient Outcomes
AI Ultrasound Is Nearly 100% Accurate in Detecting Thyroid Cancers
Nursing Informaticists Are the Backbone of Technology-Driven Care
What ChatGPT Says About Belonging and Oncology Nursing 
AI Mammography Cancer Detection Rates Equivalent to Radiologist Readings

Clinical Journal of Oncology Nursing article: Technology and Humanity 
Oncology Nursing Forum article: Artificial Intelligence for Oncology Nursing Authors: Potential Utility and Concerns About Large Language Model Chatbots 
Topaz’s project on natural language processing: NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding 


Harvard Business Review article: The Power of Natural Language Processing 
Nursing and Artificial Intelligence Leadership (NAIL) Collaborative  
ChatGPT 
Platforms for courses on AI:
Coursera
eDEX
MOOC 


 

To discuss the information in this episode with other oncology nurses, visit the ONS Communities.  


To find resources for creating an ONS Podcast Club in your chapter or nursing community, visit the ONS Podcast Library. 

To provide feedback or otherwise reach ONS about the podcast, email pubONSVoice@ons.org. 

 

Highlights From Today’s Episode 

“So, today, I think this technology advances every week. There are updates for this technology, specifically ChatGPT technology, that are not incremental, I think, they’re pretty evolutional, though, and are making me excited about this field. I was excited before, but I was very skeptical, actually, before the recent advancements in the last year or so about our ability to get to a place where we would interact with those large language models.” TS 10:31 

“My goal right now is to try to see how we use this technology appropriately for nurses in general, including oncology nursing. The use cases that I can see are more multiple, and one thing is generating the summary of your care. If the interaction between you and the patient can be recorded, th