Securing Modern Healthcare Systems: A Review of Artificial Intelligence, Machine Learning, Predictive Analytics, and Data Analytics in Healthcare Informatics and Supply Chains

Abstract

Modernization of healthcare systems is becoming more and more dependent on the application of Artificial Intelligence (AI), Machine Learning (ML) as well as predictive analytics and data analytics that can be used to provide better care to patients as well as operational efficiency and systems security. This review examines how these technologies can be used in healthcare informatics and supply chain management and mentions their implementation in the fields of diagnostics, personalized treatment, predictive modeling, and optimization of resources. It also covers the issues of data privacy, cybersecurity, algorithmic bias, interoperability and ethical considerations. Precision medicine, real-time monitoring using IoT devices, and interoperable and resilient healthcare infrastructures are the destinations of the future. Altogether, smart data-driven systems are an innovative direction of safe, effective, and patient-centered care.