Intelligent Patient Management

by Mcclean, Sally; Millard, Peter; El-darzi, Elia; Nugent, Chris

• ISBN13: 9783642001789
• ISBN10: 3642001785
• Format: Hardcover
• Copyright: 2009-04-01
• Publisher: Springer Verlag

Summary

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.

Table of Contents

Intelligent Patient Management

Why Nosokinetics

measuring and modelling the process of care?

Toward a decision support tool for emergency networks in France

a literature analysis

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

Modeling the impact of information and communication technologies on information flows in neonatal intensive care units

Models for extracting information from patient pathways

Intelligent Clinical Support

Internal flows and frequency of internal overflows in a large teaching hos

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