Lessons Learned from the Implementation of a Person-Centred Digital Health Platform in Cancer Care

Published: 29 September 2022

Abstract

The SARS-CoV-2 (COVID-19) pandemic has accelerated the development and use of digital health platforms to support individuals with health-related challenges. This is even more frequent in the field of cancer care as the global burden of the disease continues to increase every year. However, optimal implementation of these platforms into the clinical setting requires careful planning and collaboration. An implementation project was launched between the Centre intégré universitaire de santé et de services sociaux (CIUSSS) du Centre-Ouest-de-I’Île-de-Montreal and BELONG—Beating Cancer Together—a person-centred cancer navigation and support digital health platform. The goal of the project was to implement content and features specific to the CIUSSS, to be made available exclusively for individuals with cancer (and their caregivers) treated at the institution. Guided by Structural Model of Interprofessional Collaboration, we report on implementation processes involving diverse stakeholders including clinicians, hospital administrators, researchers and local community/patient representatives. Lessons learned include earlier identification of shared goals and clear expectations, more consistent reliance on virtual means to communicate among all involved, and patient/caregiver involvement in each step to ensure informed and shared decision making.

View full article >

Belong.Life is a leading global tech provider of high-engagement patient communities and care platforms, supporting millions of patients worldwide.

Among Belong.Life’s brands are the world’s largest social and professional networks for cancer patients (Belong – Beating Cancer Together) and multiple sclerosis patients (BelongMS), as well as i-Belong, BelongIBD, BelongPSOCoronApp (in selected countries), and more.

Belong.Life’s mission is to improve quality of life and quality of care worldwide through technology, engagement, data, and AI.

Skip to content