The development of Future Health Today: piloting a new platform for identification and management of chronic disease in general practice
Barbara Hunter A * , Karyn Alexander A , Ruby Biezen A , Christine Mary Hallinan A , Anna Wood A , Craig Nelson B C and Jo-Anne Manski-Nankervis A DA Department of General Practice, University of Melbourne, Melbourne, Vic. 3000, Australia.
B Western Health Chronic Disease Alliance, Department of Nephrology, Western Health, Footscray, Vic. 3000, Australia.
C Department of Medicine Western Health, University of Melbourne, Melbourne, Vic. 3000, Australia.
D NHMRC Centre for Research Excellence in Digital Technology to Transform Chronic Disease Outcomes, University of Melbourne, Melbourne, Vic. 3000, Australia.
Australian Journal of Primary Health 29(1) 8-15 https://doi.org/10.1071/PY22022
Submitted: 8 February 2022 Accepted: 13 October 2022 Published: 2 November 2022
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of La Trobe University. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
Abstract
Chronic disease identification and management is a significant issue in Australia, with general practice being the primary contact point for those at risk of, or living with, chronic disease. However, there is a well-described gap between guideline recommendations for chronic disease management and translation in the general practice setting. In 2018, a group of researchers, clinicians and software developers collaborated to develop a tool to support the identification and management of chronic disease in general practice, with the aim to create a platform that met the needs of general practice. The co-design process drew together core principles and expectations for the establishment of a technological platform, called Future Health Today (FHT), which would sit alongside the electronic medical record (EMR) management system within general practice. FHT used algorithms applied to EMR data to identify patients with, or at risk of, chronic disease and requiring review. Using chronic kidney disease as a clinical focus, the FHT prototype was piloted in a large, metropolitan general practice, and a large regional general practice. Based on user feedback, the prototype was further developed and improved. This paper provides a report on the key features and functionalities that participants identified and implemented in practice.
Keywords: chronic disease, chronic disease management, chronic kidney disease, co-design, general practice, health informatics, innovation, primary care.
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