With artificial intelligence technology expected to become more prevalent in healthcare, nurses are looking to protect person and family-centred compassionate care.

That from Tracie Risling, Associate Professor at the University of Saskatchewan and co-chair of the steering committee for a report, highlighting the role of clinical environments enhanced by AI analytics. Risling says the AI systems currently in place are essentially learning computers that take a lot of data, process it, and learn from the patterns found. AI analytics are currently able to use data to predict risk, queue practitioners for diagnosis and treatment, as well as sorting people needed, and how many beds might be needed in healthcare systems.

Risling says AI can help give a heads up on decision making, but a lot more needs to be learned about AI when it comes to nursing and compassionate care. She and her research partners are looking to survey nurses and patients to answer those questions. Risling states that some of the challenges include AI being driven on data only and the concerns and bias that could appear from that. She believes nurses should have a say in how future AI systems are integrated.

Read the full report from the Registered Nurses Association of Ontario and AMS Healthcare here:
Nursing and Compassionate Care in the Age of AI