Currently, patient damage from subpar care is one of the predominant leading causes of disease and death globally and a major and growing global public health problem. Most of the patient harm in this patient population is preventable. When such incidents are made known, there is often fall in public confidence and trust in local health systems. Health professionals may have long-term psychological damage if they are involved in catastrophic events that result in patient harm or death. Taking all this consideration, WHO has decided to set the action plan 2030. The framework incorporates seven key principles and is applicable across four levels: administrative, governmental, secretarial, and healthcare provider. The guiding principles are: (1) Involve patients and their families as active participants in ensuring safe care, (2) accomplish goals through teamwork and cooperation, (3) utilize data analysis to facilitate learning, (4) Convert evidence into quantifiable improvements, (5) develop policies and actions tailored to the specific healthcare environment, (6) combine scientific expertise with patient experiences to enhance safety, and (7) embed safety culture into healthcare design and delivery. AI technology has the potential to expedite processes and enhance the precision of care provided. As AI is new and powerful advancement in field of science, it would help to upgrade to whole new level in all areas. For that first we need to understand what the basic problem is in the system. There is paucity of such data, hence the study. Primary objective: To futuristically implicate the AI use for pediatric patient safety culture toward eliminating avoidable harm, Secondary objectives: To assess the patient safety culture toward eliminating the avoidable harm in health care of children at tertiary care hospital according to global safety action plan at tertiary care hospital.