Healthcare Professionals’ Readiness for Artificial Intelligence Applications in Healthcare Institutions in Oman

Abstract

Background: Artificial intelligence (AI), defined as the simulation of human intelligence by computer systems, is increasingly integrated into healthcare to support diagnosis, treatment planning, prognosis, and patient care. Several Gulf Cooperation Council (GCC) countries have incorporated AI into their national healthcare strategies. The successful implementation of AI in healthcare depends on professionals' knowledge, attitudes, and readiness. This study aimed to assess these factors among healthcare professionals in Oman. Methods: A quantitative, cross-sectional study was conducted in the North Batinah Governorate (NBG), Oman, involving healthcare professionals employed at Ministry of Health institutions. Data were collected at a single point in time using convenience sampling and a self-administered questionnaire. Data analysis was performed using SPSS. Results: A total of 470 healthcare professionals participated. Most respondents were aged 25–35 years (66%), female (96%), married (77%), and held higher education qualifications (65%). The majority were nurses (61%), followed by midwives (21%) and doctors (19%). Knowledge of AI applications varied from 41% to 82% across individual items, with an overall mean score of 56% (±23). The average attitude score was 3.3 (±0.7), while the overall readiness score was 3.0 (±1.2). The highest readiness was observed in the ability to use information and communication technologies for accessing and generating knowledge (3.2 ± 1.3). Conclusion: Healthcare professionals in NBG exhibited moderate levels of knowledge, attitudes, and readiness regarding AI applications. Addressing these gaps is crucial for effective AI integration. This study offers foundational data to support policy development and inform targeted strategies to enhance AI adoption in healthcare, ultimately aiming to improve patient outcomes in Oman.