Artificial intelligence (AI) is increasingly influencing healthcare delivery, yet the perspectives of allied health professionals (AHPs) on AI integration remain insufficiently examined in the Malaysian context. This study aims to explore AHPs’ knowledge, perceptions, and readiness to incorporate AI into clinical practice by examining perceived benefits and risks, preparedness to use AI technologies, and demographic or professional factors influencing adoption. Most respondents recognised AI’s potential, including benefits for clinical decision-making (58.2%), patient care delivery (61.5%), and population health outcomes (59.1%), though opinions were divided regarding its implications for professional roles and financial considerations. A substantial proportion (67.6%) reported insufficient training to use AI tools, with only 34.3% aware of workplace ethical frameworks. The cross-sectional survey was administered using the Shinners Artificial Intelligence Perception Questionnaire and distributed through social media and professional association mailing lists, resulting in 211 responses from AHPs in Malaysia across eight disciplines (speech therapists, occupational therapists, clinical psychologists, dietitians, nutritionists, audiologists, physiotherapists, and counsellors). Participants (86% female; mean age = 33.5 years, SD = 7.26; mean practice experience = 9 years, SD = 7) completed the survey between November 2024 and March 2025. Data were analysed using descriptive statistics, chi-square tests, and Spearman correlations. Although AHPs in Malaysia hold positive views of AI, they report limited preparedness, inadequate ethical awareness, and insufficient training opportunities, underscoring the need for enhanced professional education, clearer institutional guidance, and stronger national policy frameworks to support responsible AI integration.

Authors:
Shin Ying Chu, National University of Malaysia / Universiti Kebangsaan Malaysia (UKM), Malaysia
Tiffany, Wen Ying Chan, National University of Malaysia / Universiti Kebangsaan Malaysia (UKM), Malaysia
Jyh Eiin Wong, National University of Malaysia / Universiti Kebangsaan Malaysia (UKM), Malaysia
Siaw Chui Chai, National University of Malaysia / Universiti Kebangsaan Malaysia (UKM), Malaysia
Giuditta Smith, University of East Anglia, United Kingdom
Rachel Unicomb, University of Newcastle, Australia
Maria Garraffa, University of East Anglia, UK

About the Presenter(s)
Dr Chu Shin Ying is an Associate Professor at UKM whose work focuses on speech motor control, communication disorders and evidence-based practice. Her current project examines AI perceptions and preparedness among Malaysia allied health professionals

See this presentation on the full schedule – Thursday Schedule

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