Anbuselvi Danapalan
Al Ahli Hospital, Qatar
Abstract Title:Is Artificial Intelligence plays eccentric role in Healthcare Simulation Education?
Biography: Anbuselvi Danapalan has currently PhD scholar and completed her MSc in Nursing from Sri Ramachandra Higher Education and Research Institute, Tamilnadu, India and postgraduate certificate in Higher Education from Queen Maragret University, UK. She is a Certified Infection Prevention and Control Practitioner since 2017 from APSIC and CBIC. She is the founder of INNO IPAC Game and currently working in Qatar as IPAC Practitioner. She has published research papers in peer-reviewed journals and served as a resource person in international and national conferences. She is an active member of Cochrane and professional organization and socities.
Research Interest: Artificial Intelligence plays a pivotal role in the digitalized world. AI in healthcare grows 48.1% from USD 20.9 billion (2024) to USD 148.4 billion (2029) globally. AI is indispensable element of Qatar National Vision 2030's pillars and expected to grow USD 63 million in 2026. Though AI is on an inclined path, it's not widely accepted due to various issues, consequences and constraining factors. These concerns push towards the argument on innovative AI adoption in healthcare simulation education AI is an incredible tool in diagnosis, treatment and robotic assisted surgeries with improved health outcomes and quality care. AI has been integrated into healthcare simulation education providing experiential and transformative learning experiences with improved student learning outcomes and self-confidence. Many research studies evidently proved that AI provides personalized learning experience through automation of repetitive tasks, prediction of outcomes and optimization of processes and decision-making efficiency. Many research studies have evidently proved that AI in healthcare education boost students’ engagement and satisfaction to provide person-centered care. In contrary, it is an undeniable truth that AI is facing a roller coaster raid of obstacles and setbacks. A major setback is meeting ethical and legal standards such as breach of privacy, data confidentiality, perpetuation of bias, accountability, compliance standards, intellectual rights and other issues like AI transparency, integration, limited knowledge, lack of explainability, job displacement etc. These issues demand the need for leaders to develop policies and regulations. However, Qatar envisioned national AI strategy as a powerful technological enabler for QNV2030 and seamlessly working to overcome challenges and transitioning into AI+X future. Key words: Artificial Intelligence, Healthcare simulation, Simulation education, Technology Enhanced Learning, Simulation