Recent Advances in Healthcare Informatics: A Review of AI and Machine Learning for Predictive Analytics, Data Analytics, and Healthcare Supply Chain Systems

Abstract

The combination of Artificial Intelligence (AI) and Machine Learning (ML) has changed healthcare informatics, allowing predictive analytics, data-driven decision-making, and effective management of the supply chain. The review dwells upon the new developments in the AI and ML usage, such as disease forecast, patient risk categorization, personal treatment, and optimization of operations. Intelligent supply chain systems can be used to improve the allocation of resources and minimize wastage, whereas healthcare data analytics can help with evidence-based care and managing population health. New technologies, including IoT, blockchain, and cloud computing, hold the promise of a more proactive, efficient and patient-centered healthcare ecosystem despite data privacy, iSnteroperability and ethical issues.