Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare, now in its third edition, discusses the underpinnings of effective, reliable, and easy-to-use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades; however its complexities, costs, and user resistance have lagged its potential. Thus it is of utmost importance to understand the process in detail, to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve health and wellness and the quality of health care.
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Robert Greenes, MD, PhD, holds an MD and a PhD in Computer Science from Harvard. Dr Greenes is an expert in health care information technology/informatics and has made contributions to the field over many years, initially at Harvard and more recently at Arizona State University in partnership with Mayo Clinic. His passion is the use of information technology in health care to make "the right thing the easy thing to do". He is Ira A. Fulton Chair of Biomedical Informatics at the ASU, a member of the National Academy of Medicine and of the International Academy of Health Sciences Informatics, and a Fellow of the American College of Radiology, American College of Medical Informatics, and the Society for Imaging Informatics in Medicine. He was the 2008 recipient of the Morris F. Collen Award for lifetime impact on the field of biomedical informatics, from the American College of Medical Informatics.
Guilherme Del Fiol, MD, PhD, earned his MD from the University of Sao Paulo, Brazil; his MS in Computer Science from the Catholic University of Parana, Brazil; and his PhD in Biomedical Informatics from the University of Utah. He is currently Professor and Vice-Chair of Research in the University of Utah’s Department of Biomedical Informatics. Prior to the University of Utah, Dr. Del Fiol held positions in Clinical Knowledge Management at Intermountain Healthcare and as faculty at the Duke Community and Family Medicine Department. Since 2008, he has served as an elected co-chair of the Clinical Decision Support Work Group at Health Level International (HL7). He is also an elected Fellow of the American College of Medical Informatics (ACMI) and a member of the Comprehensive Cancer Center at Huntsman Cancer Institute. His research interests are in the investigation of standards-based clinical decision support and digital health interventions.
This third edition of Clinical Decision Support and Beyond: Progress and Opportunities in Knowledge-Enhanced Health and Healthcare addresses the many aspects of the broad topic of how knowledge can be used to enhance health and healthcare. As in previous editions, this book delves into the underpinnings of effective, reliable, and easy-to-use clinical decision support (CDS) systems at the point of care as a proactive way of enabling care providers to copie with and manage the flood of data, knowledge, and (mis)information at the point of need while engaged in the care process. It also addresses ways to provide population-level CDS and support patients directly in self-management of their health and healthcare. Incorporating CDS into electronic health record systems has been underway for decades; however, its complexities, costs, and difficulties in deploying in a user-acceptable and scalable manner have lagged its potential. This book explores the processes involved in detail, to enhance understanding of how to take full advantage of CDS capabilities at scale. The book expands and updates the content of the previous edition, beyond traditional CDS to include other ways in which knowledge can improve healthcare and the health system itself, taking advantage of the broad range of new data-from genomics to sensors and apps, to images and text information as well as population health analytics. The book includes new or expanded topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, pupulation health, integration of person monitoring, and patient-facing CDS. In addition, it discusses population health management, public health decision aids, and approaches to help reduce health disparities. This book is a valuable resource for clinicians, practitioners, students, informaticians, data and computer scientists, and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support and other knowledge resources to improve health and wellness and the quality of healthcare.
the underpinnings of effective, reliable, and easy to use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades, however its complexities, costs, and user resistance have lagged their potential though, thus it is of utmost importance to understand the process in details to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve the quality of health care.
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