Clinical Decision Support Systems: Theory and Practice / Edition 2

by Eta S. Berner

Overview

Building on the success of the 1998 edition, Clinical Decision Support Systems: Theory and Practice, Second Edition, once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systmes in clinical and educational settings. Writes the editor, "If used properly, CDSS have the potential to change the way medicine has been taught and practiced." As clinical decision support systems (CDSS) gain an increasingly central role in the delivery of high quality health care, it becomes more important for the health care community to understand their use. This text is designed as a resource for practicing clinicians, informaticians, teachers and students alike, and provides the most current, comprehensive look a the development and evaluation of clinical decision support systems.

Product Details

ISBN-13:	9781441922236
Publisher:	Springer New York
Publication date:	11/19/2010
Series:	Health Informatics Series
Edition description:	Softcover reprint of hardcover 2nd ed. 2007
Pages:	270
Product dimensions:	5.90(w) x 9.00(h) x 0.80(d)

Table of Contents

Development and Evaluation of Clinical Decision Support Systems.- Overview of Clinical Decision Support Systems.- Mathematical Foundations of Decision Support Systems.- Data Mining and Clinical Decision Support Systems.- Design and Implementation Issues.- Diagnostic Decision Support Systems.- Ethical and Legal Issues in Decision Support.- Clinical Trials of Information Interventions.- Applications of Clinical Decision Support Systems in Clinical Practice.- Clinical Decision Support at Intermountain Healthcare.- Clinical Decision Support Within the Regenstrief Medical Record System.- Decision Support During Inpatient Care Provider Order Entry: The Vanderbilt Experience.- Decision Support for Patients.

Editorial Reviews

Reviewer: Keri L Christensen, BSE (Northwestern University Feinberg School of Medicine)
Description: The first section of this book provides a technical overview of how clinical decision support systems (CDSS) can be structured and how they might work and then the second section details real-life examples from leaders in the industry about how clinical decision support systems can be implemented. A lot has changed in the field since 1999 when the first edition was published, so this is a necessary update.
Purpose: The author has three objectives: to provide a technical resource about CDSS for information specialists; a textbook for students in medical informatics programs, and a resource for clinicians interested in CDSS. These are worthy objectives, but rather disparate. The sections geared towards information specialists would be above the heads of most clinicians and are more in depth than some medical informatics students would need. The book as a whole, however, has at least some chapters that would be interesting and informative for each group.
Audience: The first half of the book is definitely focused on students and information technology specialists interested in learning the back-end workings of a clinical decision support system. The second half of the book would be more appealing to clinicians or healthcare leaders interested in implementing a clinical decision support system. The second half would also be valuable to students or IT specialists who want to understand how the programs are implemented and used, which would be very helpful so that they understand the types of functionality a CDSS needs to have and what is most useful and user-friendly. The authors were credible authorities and he institutions profiled in the second half of the book are leaders in the field.
Features: Section 1 provides a competent overview of clinical decision support systems: what they are, how they are designed, different ways they are used, and the purposes for which they are built. Legal issues are also addressed. My favorite chapter in this section, from a CDSS implementer's perspective, is chapter 7 on clinical trials of CDSSs. The bibliographies for the chapters in the first section are quite comprehensive and can direct readers to more information on any subject briefly touched upon in the overview. Section 2 is very well done, with excellent discussions on types of clinical decision support systems implemented by organizations, uses, timing, pitfalls, and lessons learned. Again, the citations are very helpful and serve almost as a recommended reading list for the topic.
Assessment: This book is especially well suited for students in health informatics who are interested in designing and developing clinical decision support systems. It provides an excellent overview with suitable references for continued learning. The book is less well suited for those looking to implement a clinical decision support system, as it attempts to teach more than these persons may be interested in knowing. I especially like the inclusion of the case examples at the end, particularly for the audience of CDSS developers: all too often system developers have only a fuzzy idea of how the system would be used in practice. The authors have provided some great examples and guidance in this regard.

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