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In particular, approaches which have their origins in Artificial Intelligence and Operational Research have a significant contribution to make in terms of improving not only diagnosis and treatment of patients, but also providing ways of managing patients in a more effective, more efficient, and more patient-friendly manner.
Intelligent Patient Management.- Why Nosokinetics? Measuring and Modelling the Process of Care.- Toward a Decision Support Tool for Emergency Networks in France.- Length of Stay-Based Clustering Methods for Patient Grouping.- Machine Learning and Statistical Approaches to Support the Discrimination of Neuro-degenerative Diseases Based on Gait Analysis.- Privacy-Preserving Fuzzy Matching Using a Public Reference Table.- Intelligent Healthcare Tools.- Methodological Approach and Software Tools for the Hospital Systems.- A Sizing Tool for Allocation Planning of Hospital Bed Resources.- A Grid Implementation for Profiling Hospitals Based on Patient Readmissions.- A Design for Modelling the Impact of Information and Communication Technologies on Patient Journeys in Neonatal Intensive Care Units.- Models for Extracting Information on Patient Pathways.- Intelligent Clinical Support.- Internal Flows and Frequency of Internal Overflows in a Large Teaching Hospital.- Optimal Scheduling Using Length-of-Stay Data for Diverse Routine Procedures.- The Impact of Induction Room on Operating Theatre Performances.- How Stochasticity and Emergencies Disrupt the Surgical Schedule.- Using Markov Systems to Plan Stroke Services.- Smart Community Services.- iCOPE: Intelligent Context-Aware Patient Management Systems for Elderly with Cognitive and Functional Impairment.- Semantic Smart Homes: Towards Knowledge Rich Assisted Living Environments.- Profile Management for Dynamic Groups.- Uncertain Information Management for ADL Monitoring in Smart Homes.