Building on the success of the previous edition, Clinical Decision Support Systems: Theory and Practice, Second Edition, once again brings together internationally renowned experts to illustrate the underlying science and day-to-day use of decision support systems. 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 at the development and evaluation of clinical decision support systems.
Topics discussed include: Mathematical Foundations of Decision Support Systems, Design and Implementation Issues, Ethical and Legal Issues in Decision Support, Clinical Trials of Information Interventions, Hospital-Based Decision Support, Real World Case Studies.\
This book reviews the history, development, theory, and implementation of clinical diagnostic decision support systems (CDDSS). It is divided into sections dealing with the scientific/mathematical features of CDDSS, how and for what purposes these systems are used, and where future development is headed. The editor proposes to provide a resource for CDDSS informatics specialists, a textbook for studies in CDDSS, and an introduction for clinicians interested in this field. These are worthy goals, especially those designed to enlighten novices. The book does well as a resource for informatics specialists and an introduction for newcomers, but lacks a structure robust enough to work as a textbook, since several of the chapters read more like articles. It is written for clinicians with an interest in CDDSS, medical and healthcare information students learning about CDDSS, and informatics researchers who do not regularly perform CDDSS. The content seems to be too basic for experts in CDDSS. Aside from the healthcare fields, I think computer scientists with an interest in decision support will find the book interesting because it details the state of the art in medical decision making. The contributors are very credible The contributors state in may different ways the shortcomings of diagnostic decision support and barriers to its wide acceptance. From the "overview" chapter to the "future development" section, and all through the text, we are reminded that CDDSS has generally received lukewarm reception in the medical community at large. An appropriate amount of time is spent in dispelling myths about CDDSS (namely that CDDSS-neophytes tend to expect these systems to perform as "Greekoracles," providing precise and accurate diagnoses based on signs and symptoms). The editor and contributors convey that CDDSS should be used to support the diagnosis process, not replace clinical providers. The contributors did well in eliminating bias from their work. They could have espoused CDDSS in a utopian light. Rightfully, they reported the many "scientific" studies that seem to indicate CDDSS is of little value now and is not widely used. This kind of sober approach, coming from the very experts who want CDDSS to succeed and be valued, is refreshing and will serve to advance the field through constructive criticism.\