Predictive Healthcare and Smart Medical Supply Chains: A Systematic Review of Artificial Intelligence and Machine Learning Techniques

Abstract

Healthcare informatics has been changed drastically with the rapid development of healthcare data and digital technologies. The data analytics, Artificial Intelligence (AI), and Machine Learning (ML) are relevant to enhancing healthcare decision-making, predicting disease, and operational efficiency. This review examines the use of AI-based data analytics in predictive health care and management of the healthcare supply chain. It notes the adoption of big data, cloud computing, and edge computing technologies and the Internet of Medical Things (IoMT) to assist with intelligent healthcare services. Machine learning models are useful in early disease detection, assessment of the risk in the patient, and planning the treatment. Regardless of such obstacles as data privacy and interoperability, AI has a great potential to improve healthcare delivery and patient outcomes.