posted on 2025-07-22, 23:59authored byCynthia Yuee Siong Wong
<p dir="ltr">Background: The realization of artificial intelligence (AI) in healthcare is a growing phenomenon that is likely to revolutionize the field, especially when it comes to handling chronic diseases like Type 1 Diabetes (T1D). T1D is a long-term chronic disease that needs much attention and regular care, which puts a great deal of pressure on healthcare costs. However, there is little research about the cost-savings possible with such clinical applications of AI, especially for T1D.</p><p dir="ltr">Objective: This study examines the potential of AI to reduce costs in healthcare, it aims to assess the total cost of T1D and the benefit of utilizing AI solutions to reduce costs in different health service areas.</p><p dir="ltr">Methods: The study uses a literature review and quantitative data analysis to examine the applications of AI in health services. The approach to data analysis is through comparing the costs of managing T1D with other chronic diseases using a descriptive analysis.</p><p dir="ltr">Results: The evaluation shows that T1D is responsible for a significant fraction of health costs, about 24.9% of total costs. The scoping review revealed that AI solution deployment across the healthcare sector identified diagnosis, treatment planning, and patient tracking as the areas which have the potential to save costs. Advancing diagnostics, easing treatments and avoiding hospital admissions sum up to significant health care cost saving through the application of innovations in different disease categories as well as in emergency care. There is good potential for AI interventions in health services, as there were cases of AI interventions that resulted in economic efficiency.</p><p dir="ltr">Conclusions: AI can reduce healthcare costs even as it strives to achieve higher standards of healthcare services. This research is a valuable guide to healthcare policymakers and practitioners on the positive effects of incorporating AI in chronic disease management, such as T1D.</p>
History
Table of Contents
Chapter 1: Introduction and overview of thesis -- Chapter 2: Scoping review -- Chapter 3: Data analysis -- Chapter 4: Discussion and conclusion -- References -- Appendix
Notes
Thesis by publication
Awarding Institution
Macquarie University
Degree Type
Thesis MRes
Degree
Master of Research
Department, Centre or School
Australian Institute of Health Innovation
Year of Award
2025
Principal Supervisor
Farah Magrabi
Additional Supervisor 1
David Lyell
Rights
Copyright: The Author
Copyright disclaimer: https://www.mq.edu.au/copyright-disclaimer