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Factors Influencing the Acceptance of AI in Mobile Health Apps in Malaysia

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  • Che Nur Asmani Amirah Che Mohd Nawi
  • Zuhal Hussein
  • Che Nur Asmani Amira Che Mohd Nawi

Abstract

In today’s fast-paced world, maintaining health and personal wellness has become a top priority. Artificial intelligence (AI) has emerged as a powerful tool in this effort, offering innovative solutions through mobile health applications. These applications use AI-driven algorithms to analyze user data, including sleep patterns, food intake, daily activity levels, diet preferences, stress indicators, and meditation, to provide personalized recommendations and insights. Mobile health applications have the potential to improve healthcare systems by enhancing health and disease management, communication, efficiency, treatment adherence, reducing costs, and increasing access to health interventions. This paper aims to provide a better understanding of the use of artificial intelligence in healthcare tools by examining the factors influencing the intention to use mobile health applications in Malaysia. It will discuss the extended UTAUT constructs and the concept of personal health characteristics, such as performance expectancy, effort expectancy, social influence, facilitating conditions, and health consciousness.

Suggested Citation

  • Che Nur Asmani Amirah Che Mohd Nawi & Zuhal Hussein & Che Nur Asmani Amira Che Mohd Nawi, 2024. "Factors Influencing the Acceptance of AI in Mobile Health Apps in Malaysia," Information Management and Business Review, AMH International, vol. 16(3), pages 685-694.
    • Handle: RePEc:rnd:arimbr:v:16:y:2024:i:3:p:685-694
    DOI: 10.22610/imbr.v16i3(I).4022
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