A.I.-based digital therapeutics in diabetes management

  • Žygimantas Foktas (Student)

Student thesis: Master's Thesis

Abstract

The Diabetes Mellitus is a global health challenge which underscores the need for advanced technologies to provide effective management solutions. The integration of DTx and AI could offer new solutions for diabetes management which are much in need given the widespread prevalence and the need for personalized care. Therefore, this study seeks to explore AI's impact and challenges in the field of digital therapeutics for diabetes management. The research delves into potential applications, effectiveness, and challenges within digital therapeutics. It also examines the transformative impact of AI on healthcare, particularly in enhancing treatment personalization, predictive care, and patient education through advanced monitoring systems. Research included the use of primary data and secondary data. This included literature review, semi-structured interviews and analysis. Results include the identification of AI's potential in personalizing care, enhancing predictive analytics, improving patient outcomes and healthcare efficiency. It also uncovers significant challenges such as regulatory complexities, data privacy concerns, adoption barriers due to stakeholder resistance, and healthcare system integration issues. This thesis also advocates for further research in broader geographical contexts and deeper insights from a diverse range of experts. Nontheless, it suggests that AI, with its unique capabilities, holds promise for revolutionizing diabetes management, calling for strategic approaches to overcome existing limitations and fully harness its potential.
Date of Award1 Feb 2024
Original languageEnglish
Awarding Institution
  • Universidade Católica Portuguesa
SupervisorHenrique Martins (Supervisor)

Keywords

  • Artificial intelligence
  • Diabetes
  • Diabetes management
  • Digital
  • Digital therapeutics
  • AI
  • Therapeutics
  • DTx

Designation

  • Mestrado em Gestão

Cite this

'