Improving Outcomes With Clinical Decision Support

Winner of the 2012 HIMSS Book of the Year Award! Co-published by HIMSS, the Scottsdale Institute, AMIA, AMDIS and SHM, this second edition of the authoritative guide to CDS implementation has been substantially enhanced with expanded and updated guidance on using CDS interventions to improve care delivery and outcomes. This edition has been reorganized into parts that help readers set up (or refine) a successful CDS program in a hospital, health system or physician practice; and configure and launch specific CDS interventions. Two detailed case studies illustrate how a "real-life" CDS program and specific CDS interventions might evolve in a hypothetical community hospital and small physician practice. This updated edition includes enhanced worksheets--with sample data--that help readers to document and use information needed for their CDS program and interventions. Sections in each chapter present considerations for health IT software suppliers to effectively support their CDS implementer clients.

This book is the result of a ground-breaking collaboration of approximately 100 individuals and organizations, with diverse perspectives and insights on a central healthcare perspective. The book will help clinical decision support implementers improve medication use in their organizations by providing practical recommendations for successfully implementing CDS focused on these targets. Chapters include detailed guidance on key areas in an effective CDS-medication management program, including optimizing governance structures and management processes, defining outcome improvement opportunities and baselines, and setting up interventions in key clinical information systems.

Co-published by HIMSS, the Scottsdale Institute, AMIA, AMDIS and SHM, this second edition of the authoritative guide to CDS implementation has been substantially enhanced with expanded and updated guidance on using CDS interventions to improve care delivery and outcomes.

This implementer's guide provides a step-by-step roadmap on planning, implementing and monitoring a Clinical Decision Support (CDS) program for driving performance improvement. Chapters and appendixes cover the following topics: Identifying Stakeholders and Goals Cataloging Available Information Systems Selecting and Specifying CDS Interventions Specifying and Validating the Details, and Building the Interventions Putting Interventions into Action Measuring Results and Refining the Program Standards Pertinent to CDS Medico-legal Considerations with CDS Pilot Site Selection Additional Statistics and Reports for Evaluating Alerts Packed full of practical guidance, Improving Outcomes with Clinical Decision Support: An Implementer's Guide contains real world examples, worksheets, rich links to supportive materials, plus a robust glossary of terms and acronyms. 2005. Sponsored in part by a grant from Thomson Micromedex.

Winner of the 2012 HIMSS Book of the Year Award!Co-published by HIMSS, the Scottsdale Institute, AMIA, AMDIS and SHM, this second edition of the authoritative guide to CDS implementation has been substantially enhanced with expanded and updated guidance on using CDS interventions to improve care delivery and outcomes. This edition has been reorganized into parts that help readers set up (or refine) a successful CDS program in a hospital, health system or physician practice; and configure and launch specific CDS interventions. Two detailed case studies illustrate how a "real-life" CDS program and specific CDS interventions might evolve in a hypothetical community hospital and small physician practice. This updated edition includes enhanced worksheets--with sample data--that help readers to document and use information needed for their CDS program and interventions. Sections in each chapter present considerations for health IT software suppliers to effectively support their CDS implementer clients.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Written by nationally and internationally recognised experts on the design, evaluation and application of such systems, this book examines the impact of practitioner and patient use of computer-based diagnostic tools. It serves simultaneously as a resource book on diagnostic systems for informatics specialists; a textbook for teachers or students in health or medical informatics training programs; and as a comprehensive introduction for clinicians, with or without expertise in the applications of computers in medicine, who are interested in learning about current developments in computer-based diagnostic systems. Designed for a broad range of clinicians in need of decision support.