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From Patient Data to Medical Knowledge

How can you make the best use of patient data to improve health outcomes? More and more information about patientsrsquo; health is stored on increasingly interconnected computer systems. But is it shared in ways that help clinicians care for patients? Could it be better used as a resource for researchers? This book is aimed at all those who want to learn about how IT is transforming the way we think about medicine and medical research. The ideas explored here are taken from research carried out around the world, and are presented by a leading authority in Health Informatics based at University College London. This comprehensive guide to the field is split into three sections: (i) What is health informatics? ndash; an introduction. (ii) Techniques for representing and analysing patient data and medical knowledge. (iii) Implementation in the clinical setting: changing practice to improve health care outcomes Whether you are a health professional, NHS manager or IT specialist, this book will help you understand how data can be managed to provide the information you and your colleagues want in the most helpful and accessible way for both you and your patients.
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Table of Contents

Part One: Three Grand Challenges for Health Informatics. 1 Introduction. 2 Reading and writing patient records. 3 Creation of medical knowledge. 4 Access to medical knowledge. . Part Two: The Principles of Health Informatics. 5 Representation. 6 Logic. 7 Clinical terms. 8 Knowledge representation. 9 Standards in health informatics. 10 Probability and decision-making. 11 Probability and learning from data. . Part Three: Achieving Change. 12 Information technology and organisational transformation. 13 Achieving change through information. 14 Achieving change through information technology. 15 Conclusions. Index

About the Author

Paul Taylor, Centre for Health Informatics and Multiprofessional Education, University College London

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