Advances and Trends in Clinical Information Systems: From AI to Machine Learning Applications and Beyond

Clinical Information systems (CIS) are a technological pillar of modern healthcare, enabling data driven decision-making, care coordination and patient centered care. This scoping review investigates how CIS are currently being studied globally, with a focus on the integration of Artificial Intelligence (AI) and Machine Learning (ML). In this scoping review, data were extracted from 31 articles that were part of the peer reviewed literature from 2021 to 2025. The articles were identified in searches of PubMed® and Web of Science®. Findings identified that CIS are rapidly evolving from static repositories to dynamic platforms with intelligent decision support, cross-system interoperability, and patient-centered features. More importantly, integrating AI and ML into interoperable CIS frameworks has the potential to enhance diagnosis, operational efficiency, and health equity.