An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.

ABSTRACT:

Background

Comprehensive models of survivorship care are necessary to improve access to and coordination of care. New models of care provide the opportunity to address the complexity of physical and psychosocial problems and long-term health needs experienced by patients following cancer treatment.

Objective

This paper presents our expert-informed, rules-based survivorship algorithm to build a nurse-led model of survivorship care to support men living with prostate cancer (PCa). The algorithm is called No Evidence of Disease (Ned) and supports timelier decision-making, enhanced safety, and continuity of care.

Methods

An initial rule set was developed and refined through working groups with clinical experts across Canada (eg, nurse experts, physician experts, and scien

SUBMITTER: Pfisterer KJ 

PROVIDER: S-EPMC10585445 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature