Artificial Intelligence in Malaysian Health Practice: Perspectives from Allied Health Professionals.

Wen Ying Chan, Tiffany, Chu, Shin Ying, Wong, Shin Ying, Chui Chai, Siaw, Smith, Giuditta, Garraffa, Maria and Unicomb, Rachael (2026) Artificial Intelligence in Malaysian Health Practice: Perspectives from Allied Health Professionals. BMC Digital Health. ISSN 2731-684X

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Abstract

Background: Artificial intelligence (AI) is transforming healthcare, but allied health professionals’ (AHPs) perspectives on AI integration remain underexplored, especially in Malaysia. This study examined AHPs’ perceptions and preparedness regarding AI in Malaysian Health Practice. Specifically, it addressed: (1) AHPs’ current perceptions of AI technologies’ integration in Malaysian practice, (2) Preparedness of AHPs to integrate AI technologies into their professional roles, and (3) demographic and professional factors influencing AHPs’ perception and preparedness toward AI integration. Methods: A cross-sectional survey was conducted using the Shinners AI Perception questionnaire (14), disseminated via Google Forms through LinkedIn, Facebook, WhatsApp, and professional association mailing lists. Participants included speech therapists, occupational therapists, nutritionists, clinical psychologists, dietitians, audiologists, physiotherapists and counselors practicing in Malaysia. A total of 211 AHPs (86% female, M = 33.5 years, SD = 7.26; M years of practice = 9, SD = 7) participated between November 2024 and March 2025. Data were analyzed using descriptive statistics, chi-square tests, and Spearman correlations. Results: A majority (58.2%) of respondents believed AI could improve clinical decision-making, 61.5% agreed it could enhance patient care delivery, and 59.1% felt it could improve population health outcomes. Responses were mixed on AI's impact on professional roles and costs. However, 67.6% reported feeling inadequately trained to work with AI-specific tools in their practice, and only 34.3% were aware of existing ethical frameworks in their workplace. Conclusions: AHPs in Malaysia recognize AI's potential benefits but report insufficient preparedness, ethical awareness and training opportunities. Addressing these gaps through education, institutional frameworks, and national policy initiatives is essential for effective AI integration in Malaysia's healthcare system.

Item Type:	Article
Additional Information:	Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author upon request.
Faculty \ School:	Faculty of Medicine and Health Sciences > School of Health Sciences
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Mental Health and Social Care (fka Lifespan Health)
Depositing User:	LivePure Connector
Date Deposited:	14 May 2026 15:15
Last Modified:	14 May 2026 15:15
URI:	https://ueaeprints.uea.ac.uk/id/eprint/103022
DOI:	10.1177/20552076261430227

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