Skip to main navigation menu Skip to main content Skip to site footer

Vol. 8 No. 1 (2022)
Special issue: Proceedings of CVIS 2022

Articles

Compassionate AI in Clinical Care: Feasibility Assessment of a Rules-Based Algorithm to Support a Nurse-Led Model of Care for Prostate Cancer Survivorship

https://doi.org/10.15353/jcvis.v8i1.5358

Published 2023-05-10

  • Elizabeth L Janes
    • ,
  • Kaylen Pfisterer
    • ,
  • Quynh Pham

Abstract

To support patients in managing the chronic symptoms associated with prostate cancer (PCa) survivorship, the expert system Ned algorithm is intended to support the introduction of a nurse-led model of care. It builds upon the existing Ned application that facilitates virtual follow-up visits between patients and their care team. This study aims to assess the initial feasibility of the Ned algorithm to support a high patient to nurse ratio in a clinical setting for streamlined supportive care. The presented simulations were conducted on a retrospective dataset to characterize the algorithm’s outputs. Results demonstrate feasibility to support self-management of symptoms in over 80% of cases. This provides evidence that the algorithm may effectively support nurses in triaging PCa survivors between routine follow-up visits, while encouraging patients to successfully self-manage their symptoms.
pdf