This paper is in the following e-collection/theme issue:

Cancer Survivorship (249) Registered Report (516) Artificial Intelligence (1189) Clinical Information and Decision Making (1315) Tools, Programs and Algorithms (237) Innovations and Technology in Cancer Care (400) E-Health / Health Services Research and New Models of Care (450)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44332, first published .
An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

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

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

Authors of this article:

Kaylen J Pfisterer1, 2 Author Orcid Image ;   Raima Lohani1 Author Orcid Image ;   Elizabeth Janes1 Author Orcid Image ;   Denise Ng1 Author Orcid Image ;   Dan Wang1 Author Orcid Image ;   Denise Bryant-Lukosius3 Author Orcid Image ;   Ricardo Rendon4 Author Orcid Image ;   Alejandro Berlin5 Author Orcid Image ;   Jacqueline Bender5 Author Orcid Image ;   Ian Brown6 Author Orcid Image ;   Andrew Feifer7 Author Orcid Image ;   Geoffrey Gotto8 Author Orcid Image ;   Shumit Saha1, 9 Author Orcid Image ;   Joseph A Cafazzo1, 9 Author Orcid Image ;   Quynh Pham1, 9, 10 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Young K, Xiong T, Lee R, Banerjee A, Leslie M, Ko W, Pham Q. User-Centered Design and Usability of a Culturally Adapted Virtual Survivorship Care App for Chinese Canadian Prostate Cancer Survivors: Qualitative Descriptive Study. JMIR Human Factors 2024;11:e49353 View