Chapman and Hall/CRC
331 pages | 64 B/W Illus.
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
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