Hospital Information System Improving Patients' Care Using New Technologies Workflow Integration for Accessible Medicine

Abstract : The increasing complexity of healthcare systems necessitates advanced digital solutions to enhance efficiency, interoperability, and patient-centred care. Hospital Information Systems (HIS) play a critical role in this transformation; however, their implementation in developing nations, including Morocco, remains hindered by fragmented workflows, limited standardisation, and inadequate integration of artificial intelligence (AI)-driven decision support mechanisms. This research addresses these challenges by proposing an AI-integrated enterprise architecture designed to optimise hospital workflows, enhance interoperability, and support evidence-based clinical decision-making. The study follows a structured methodological approach, beginning with the optimisation of HIS workflows through Business Process Model and Notation (BPMN) and the development of enterprise architectures for seamless data integration. AI-driven decision support systems are then introduced, leveraging advanced machine learning models to enhance multidisciplinary team meetings (MDTMs) and clinical collaboration. The research further explores the incorporation of emerging technologies, including the Internet of Things (IoT), robotics, and emotional AI, to improve hospital automation and patient care outcomes. Empirical validation of the proposed framework is conducted within Moroccan hospital environments, demonstrating significant improvements in interoperability, workflow automation, and decision support accuracy. The findings contribute to the national healthcare digitisation strategy by providing a structured, scalable approach to AI-driven HIS implementation. By bridging the gap between technological innovation and real-world deployment, this study establishes a foundation for sustainable digital transformation in healthcare, aligning with Morocco’s broader efforts in e-health advancement.\hfill