Convergence of Artificial Intelligence, Block chain, and Predictive Analytics in Healthcare Informatics: Opportunities and Challenges

Abstract

The integration of Artificial Intelligence (AI), block chain, and predictive analytics is revolutionizing healthcare informatics because these systems allow intelligent, secure, and data-driven systems. With the help of the AI, one can detect the correct diagnosis, clinical decision support, and make a specific treatment with the help of specific data analysis. Predictive analytics enable an active intervention, risk evaluation, and the efficient deployment of resources, whereas block chain can guarantee transparent, safe, and data exchange. The adoption of these technologies will result in improved patient care, efficiency, and the trust of the healthcare system. Their joint implementation has enormous possibilities of intelligent, patient-centered, and efficient healthcare systems despite their issues like data privacy, interoperability, and computational requirements as well as regulatory compliance that will define the future of digital health.