AI and Big Data: A New Paradigm for Decision Making in Healthcare

The latest developments in artificial intelligence (AI) - a general-purpose technology impacting many industries - have been based on advancements in machine learning, which is recast as a quality-adjusted decline in forecasting ratio. The influence of Policy on AI and big data has impacted two key magnitudes which are known as diffusion and consequences. And these must be focused primarily on the context of AI and big data. First, in addition to the policies on subsidies and intellectual property (IP) that will affect the propagation of AI in ways close to their effect on other technologies, three policy categories - privacy, exchange, and liability - may have a specific impact on the diffusion of AI. The first step in the prohibition process is to identify the shortcomings of current hospital procedures, why we need acute care AI, and eventually how the direction of patient decision-making will shift with the introduction of AI-based research. The second step is to establish a plan to shift the direction of medical education in order to enable physicians to retain control of AI. Medical research would need to rely less on threshold decision-making and more on the prediction, interpretation, and pathophysiological context of contextual time cycles. This should be an early part of a medical student's education, and this is what their hospital aid (AI) ought to do. Effective contact between human and artificial intelligence includes a shared pattern of focused knowledge base. Human-to-human contact protection in hospitals should lead this professional transformation process

AI transforming Healthcare Management during Covid-19 pandemic

The dawn of artificial intelligence (AI) as a platform for improved health care provides unparalleled opportunity to enhance patient and clinical team performance, minimize costs, and reduce the health effects of the community. It provides a broad description of the legal and legislative context of the AI tools intended for the implementation of health care; highlights the need for equality, accessibility, the need for a human rights goal for the work; and identifies important factors for further advancement. AI framework describes the obstacles, drawbacks, and best practices for AI development, adoption, and management. It brings in a paradigm shift to healthcare, driven by rising clinical data access and rapid advancement in analytical techniques. Artificial Intelligence (AI) is going to revolutionize the practice of medicine and change the delivery of healthcare. This paper discusses the role of artificial intelligence in the advancement of health care and associated fields. It also discusses, the value of artificial intelligence in various healthcare sectors' transformation

Greece 2.0, Health Economics and Outcome Research and the Rise of Artificial Intelligence:Another Missed Opportunity or it's Time for Brilliance?

The EU National Recovery and Resilience Plan "Greece 2.0" includes, among other priorities, a framework to promote and reform the health system, with a focus on digitalization of health and the use of information technology applications. Greece 2.0 may offer a chance to address the current scarcity of high-quality, reliable data sources, which is limiting the spread and impact of health economics and outcomes research (HEOR). We also suspect that the use of artificial intelligence (AI) in HEOR will play an important role in Greece's health-care reform and that it will be critical for making real-world data-driven decisions, reducing policy uncertainty. Greece has a once-in-a-lifetime chance to start from scratch and potentially build data-centric AI systems that prioritise data quality over quantity and are built on scalable, flexible, and governable data collection. This commentary explains and critically considers the significance of developing and funding an innovative plan for using AI in HEOR as part of the Greece 2.0 framework. It also discusses ethical issues and the larger role of HEOR in health-care reform