عبدالله علي الرميح

Dr. Abdullah Alrumayh research focuses on the clinical translation and implementation of artificial intelligence in healthcare, with particular emphasis on the seamless integration and adoption of AI solutions within direct patient care settings. Abdullah's research portfolio centers on implementation science for AI-enabled medical technologies, going beyond studies that demonstrate technical efficacy to examine the contextual factors that enable AI innovations to be operationalized and scaled effectively across diverse healthcare settings. His work has been published in leading peer-reviewed journals including the European Heart Journal, BMJ Health & Care Informatics, and Lancet Digital Health, with research funded by the National Institute for Health and Care Research (NIHR). A core focus of Abdullah's research is the development and real-world validation of artificial intelligence models for cardiovascular disease detection and longitudinal monitoring. His research exemplifies his commitment to bridging the gap between AI model development and clinical implementation, examining not only whether AI technologies work, but how they can be effectively integrated into clinical workflows and adopted by healthcare providers.

Abdullah's research interests encompass three interconnected domains: (1) clinical artificial intelligence and diagnostic model development, with specific expertise in ECG analysis and cardiovascular risk prediction; (2) implementation science for technology-enabled healthcare, including investigation of adoption barriers, enablers, and strategies for scaling AI solutions; and (3) health economics and evidence generation for AI technologies, demonstrating both clinical utility and economic value. His outcomes evaluation increasingly leverages sector-level data assets and considers a comprehensive impact pentad encompassing clinical, health economic, patient-centric, workforce, and sustainability dimensions.

He continues to supervise MSc, and BSc students and maintains an active teaching portfolio. His research interests include supporting healthcare digital transformation aligned with Saudi Arabia's Vision 2030 objectives, with particular focus on developing sustainable implementation models for AI-enabled technologies that improve patient outcomes across diverse healthcare settings.