Information Discovery on Electronic Health Records: 1st Edition (Hardback) book cover

Information Discovery on Electronic Health Records

1st Edition

Edited by Vagelis Hristidis

Chapman and Hall/CRC

331 pages | 64 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781420090383
pub: 2009-12-10
eBook (VitalSource) : 9780429092978
pub: 2009-12-10
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Exploiting the rich information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Until now, a trivial amount of research has been published on the challenges of leveraging this information. Addressing these challenges, Information Discovery on Electronic Health Records explores the technology to unleash the data stored in EHRs.

Assembling a truly interdisciplinary team of experts, the book tackles medical privacy concerns, the lack of standardization for the representation of EHRs, missing or incorrect values, and the availability of multiple rich health ontologies. It looks at how to search the EHR collection given a user query and return relevant fragments from the EHRs. It also explains how to mine the EHR collection to extract interesting patterns, group entities to various classes, or decide whether an EHR satisfies a given property. Most of the book focuses on textual or numeric data of EHRs, where more searching and mining progress has occurred. A chapter on the processing of medical images is also included.

Maintaining a uniform style across chapters and minimizing technical jargon, this book presents the various ways to extract useful knowledge from EHRs. It skillfully discusses how EHR data can be effectively searched and mined.


… the topics covered in Information Discovery on Electronic Health Records are both timely and important. This combination textbook and reference guide covers topics basic to health care information technology. … incorporating the capabilities described in this book into future EMR systems is critical for meeting the goals of improving health care quality and decreasing costs. …

—David Chou, JAMA, September 2010

Table of Contents

Overview of XML, Fernando Farfán and Vagelis Hristidis

Electronic Health Records (EHRs), Fernando Farfán, Ramakrishna Varadarajan, and Vagelis Hristidis

Overview of Information Discovery Techniques on EHRs, Vagelis Hristidis

Data Quality and Integration Issues in EHRs, Ricardo João Cruz-Correia, Pedro Pereira Rodrigues, Alberto Freitas, Filipa Canario Almeida, Rong Chen, and Altamiro Costa-Pereira

Ethical, Legal, and Social Issues for EHR Data Protection, Reid Cushman

Searching EHRs, Ramakrishna Varadarajan, Vagelis Hristidis, Fernando Farfán, and Redmond Burke

Data Mining and Knowledge Discovery on EHRs, Donald J. Berndt, Monica Chiarini Tremblay, and Stephen L. Luther

Privacy-Preserving Information Discovery on EHRs, Li Xiong, James Gardner, Pawel Jurczyk, and James J. Lu

Real-Time and Mobile Physiological Data Analysis, Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli, and Alessandro Fiori

Medical Image Segmentation, Xiaolei Huang and Gavriil Tsechpenakis

About the Editor

Vagelis Hristidis is an assistant professor in the School of Computing and Information Sciences at Florida International University in Miami.

About the Series

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Database Management / Data Mining
LAW / Medical Law & Legislation
MEDICAL / General
MEDICAL / Administration
MEDICAL / Health Care Delivery