Intelligent Patient Management

Healthcare approaches with origins in Artificial Intelligence and Operational Research can greatly improve the diagnosis, treatment and overall care of patients. This book focuses on the use of such Intelligent Patient Management for healthcare professionals.

Arguably medicine is either an arts-based science or a science-based art. In medieval times, clinical decisions were based on simple measures, such as the temperature of the body, the rhythm of the pulse, the consistency of the stool and the colour of the urine. Nowadays, thanks partly to modern technology, medical science has improved in many ways, as has healthcare. 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. This book focuses on the use of such Intelligent Patient Management to the benefit of clinicians, other healthcare and community practitioners and managers, patients and carers.

Latest research in the area of Intelligent Patient Management

Inhalt
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.