Adoption and Perceptions of Artificial Intelligence (AI) in Healthcare: Validity, Reliability, and Challenges Among Healthcare Professionals Rizky Suganda Prawiradilaga (a*)- Mirasari Putri (b)- Eva Rianti Indrasari (b)
Universitas Islam Bandung
Abstract
Artificial Intelligence (AI) has emerged as a transformative tool in healthcare, particularly for providing recommendations on occupational health. This study investigates the utilization of AI by healthcare professionals, the challenges encountered, and its perceived potential for improving healthcare practices.
A descriptive quantitative study was conducted with 31 healthcare professionals. Data were collected through a structured questionnaire evaluating AI usage, challenges, and perceptions. Pearson correlation was applied to assess construct validity, while Cronbach^s alpha was used to test reliability.
AI tools, including ChatGPT and Copilot, were utilized by 64.5% of respondents, with 32% using them frequently (Likert score ≥-4). The Pearson validity test showed strong correlations for most items (r > 0.3), confirming their validity, while Cronbach^s alpha of 0.643 indicated moderate reliability, improving to 0.821 after refining one ambiguous item. Key challenges included lack of training (72%) and concerns about data privacy (58%). Respondents expressed optimism about AI^s potential to enhance efficiency and reduce human error, with a mean Likert score of 4.2 for perceived readiness to adopt AI.
This study highlights that while healthcare professionals recognize the potential of AI in improving healthcare outcomes, barriers such as insufficient training and privacy concerns persist. Strengthened training programs and regulatory frameworks are essential to facilitate AI adoption and maximize its benefits in healthcare.
