AI-Enabled Digital Healthcare Informatics: Cybersecurity, Block chain Technologies, Supply Chain Analytics, and Predictive Healthcare Intelligence

Abstract

The fast digitalization of healthcare has provided enormous possibilities on how AI-enabled healthcare informatics can transform the care of patients, the efficiency of its operations, and decision-making. This review discusses the use of Artificial Intelligence, machine learning, block chain, cybersecurity, predictive analytics, and supply chain management in the contemporary healthcare systems. The use of AI and machine learning allows processing data intelligently, predicting diseases and treating patients individually, block chain and cybersecurity provide healthcare data management that is secure, transparent, and free from any manipulations. Proactive provision of healthcare and allocation of resources are improved with the help of predictive analytics and supply chain optimization. The review shows the following obstacles as data privacy, interoperability, ethical issues, and regulatory compliance, where responsible implementation is needed to develop secure, data-driven, and patient-centered healthcare ecosystems.