Clinical Decision Support for Pharmacogenomic Precision Medicine: Foundations and Implementation offers overviews, methods and strategies for translating genomic medicine to clinical practice. The book's authors explore incorporating pharmacogenetics into electronic health records, CDS methods and infrastructure for delivery, economic evaluation, the hospital administrations’ role and needs in integration, and patient counseling aspects. The book empowers clinicians, researchers, translational scientists, and data and IT experts to effectively navigate the complex landscape of CDS for pharmacogenomic precision medicine. Illustrative case studies of existing gene networks include CSER, eMERGE, the IGNITE network, DIGITIZE, the CDS Learning Network (RTI), ClinGen, Ubiquitous and CDS Hooks. Offers an applied, case-driven discussion of CDS for pharmacogenomic precision medicine Illustrates key concepts, contemporary developments, and future directions using examples of existing gene networks Features contributions from leading voices in precision medicine and clinical decision support

This issue of Clinics in Laboratory Medicine, Guest Edited by Dr. Anand S. Dighe, will focus on Clinical Decision Support, including tools, strategies, and emerging technologies. This issue is one of four issues selected per year by the series Consulting Editor, Milenko Jovan Tanasijevic. Topics include, but are not limited to, The Laboratory’s Role in Clinical Decision Support, Integrating Decision Support into a Utilization Management Program, Decision Support Tools within the Electronic Health Record, Decision Support to Enhance Automated Testing and Laboratory Workflow, Laboratory-based CDS programs, Decision Support in Blood Banking, Decision Support in Molecular Pathology, A Computational Perspective on Decision Support, Emerging Decision Support Techniques, Decision Support and Patient Safety, Decision Support from a Reference laboratory perspective, and Training Aspects of Laboratory Based Decision Support.

This cutting-edge volume is the first book that provides you with practical guidance on the use of medical device data for bioinformatics modeling purposes. You learn how to develop original methods for communicating with medical devices within healthcare enterprises and assisting with bedside clinical decision making. The book guides in the implementation and use of clinical decision support methods within the context of electronic health records in the hospital environment.This highly valuable reference also teaches budding biomedical engineers and bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.

This text will act as a quick quality improvement reference and resource for every role within the healthcare system including physicians, nurses, support staff, security, fellows, residents, therapists, managers, directors, chiefs, and board members. It aims to provide a broad overview of quality improvement concepts and how they can be immediately pertinent to one's role. The editors have used a tiered approach, outlining what each role needs to lead a QI project, participate as a team member, set goals and identify resources to drive improvements in care delivery. Each section of the book targets a specific group within the healthcare organization. Pocket Guide to Quality Improvement in Healthcare will guide the individual, as well as the organization to fully engage all staff in QI, creating a safety culture, and ultimately strengthening care delivery.

This book provides an overview of the challenges in electronic health records (EHR) design and implementation along with an introduction to the best practices that have been identified over the past several years. The book examines concerns surrounding EHR use and proposes eight examples of proper EHR use. It discusses the complex strategic planning that accompanies the systemic organizational changes associated with EHR programs and highlights key lessons learned regarding health information—including technology errors and risk management concerns.

An accessible primer, Electronic Health Record: A Systems Analysis of the Medications Domain introduces the tools and methodology of Structured Systems Analysis as well as the nuances of the Medications domain. The first part of the book provides a top-down decomposition along two main paths: data in motion workflows, processes, activities, and tas