ArticleDigital health
Artificial intelligence in Malaysian health practice: Perspectives from allied health professionals.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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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 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.