Clinical Decision Support

This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.

Produk Detail:

  • Author : Robert A. Greenes
  • Publisher : Elsevier
  • Pages : 544 pages
  • ISBN : 9780080467696
  • Rating : 4/5 from 2 reviews
CLICK HERE TO GET THIS BOOKClinical Decision Support

Clinical Decision Support

Clinical Decision Support
  • Author : Robert A. Greenes
  • Publisher : Elsevier
  • Release : 28 April 2011
GET THIS BOOKClinical Decision Support

This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis.

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
  • Author : Pieter Kubben,Michel Dumontier,Andre Dekker
  • Publisher : Springer
  • Release : 21 December 2018
GET THIS BOOKFundamentals of Clinical Data Science

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

Clinical Decision Support Systems

Clinical Decision Support Systems
  • Author : Eta S. Berner
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKClinical Decision Support Systems

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

Reinventing Clinical Decision Support

Reinventing Clinical Decision Support
  • Author : Paul Cerrato,John Halamka
  • Publisher : Taylor & Francis
  • Release : 15 January 2020
GET THIS BOOKReinventing Clinical Decision Support

This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma,

Improving Outcomes with Clinical Decision Support

Improving Outcomes with Clinical Decision Support
  • Author : Jerome. A Osheroff,Jonathan M Teich,Donald Levick,Luis Saldana,Ferdinand Velasco,Dean F Sittig,Kendall M Rogers,Robert A Jenders
  • Publisher : CRC Press
  • Release : 28 February 2021
GET THIS BOOKImproving 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

Optimizing Strategies for Clinical Decision Support

Optimizing Strategies for Clinical Decision Support
  • Author : James E. Tcheng
  • Publisher : Unknown Publisher
  • Release : 27 February 2021
GET THIS BOOKOptimizing Strategies for Clinical Decision Support

The result of a collaboration between the National Academy of Medicine (NAM) and the Office of the National Coordinator for Health Information Technology, this NAM Special Publication summarizes and builds upon a meeting series in which a multistakeholder group of experts discussed the potential of clinical decision support (CDS) to transform care delivery by ameliorating the burden that expanding clinical knowledge and care and choice complexity place on the finite time and attention of clinicians, patients, and members of the

Improving Health Management through Clinical Decision Support Systems

Improving Health Management through Clinical Decision Support Systems
  • Author : Moon, Jane D.
  • Publisher : IGI Global
  • Release : 25 September 2015
GET THIS BOOKImproving Health Management through Clinical Decision Support Systems

In an effort to combat human error in the medical field, medical professionals continue to seek the best practices and technology applications for the diagnosis, treatment, and overall care of their patients. Improving Health Management through Clinical Decision Support Systems brings together a series of chapters focused on the technology, funding, and future plans for improved organization and decision-making through medical informatics. Featuring timely, research-based chapters on topics including, but not limited to, data management, information security, and the benefits

Clinical Decision Support

Clinical Decision Support
  • Author : Robert A. Greenes
  • Publisher : Academic Press
  • Release : 26 March 2014
GET THIS BOOKClinical Decision Support

With at least 40% new or updated content since the last edition, Clinical Decision Support, 2nd Edition explores the crucial new motivating factors poised to accelerate Clinical Decision Support (CDS) adoption. This book is mostly focused on the US perspective because of initiatives driving EHR adoption, the articulation of 'meaningful use', and new policy attention in process including the Office of the National Coordinator for Health Information Technology (ONC) and the Center for Medicare and Medicaid Services (CMS). A few chapters

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
  • Author : Henning Müller,Tanveer Syeda-Mahmood,James Duncan,Fei Wang,Jayashree Kalpathy-Cramer
  • Publisher : Springer
  • Release : 04 February 2010
GET THIS BOOKMedical Content-Based Retrieval for Clinical Decision Support

This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.

Nurses' Clinical Decision Making

Nurses' Clinical Decision Making
  • Author : Russell Gurbutt,Andy Carty
  • Publisher : Routledge
  • Release : 13 December 2018
GET THIS BOOKNurses' Clinical Decision Making

This work includes a foreword by Carl Thompson, Senior Research Fellow, Department of Health Sciences, University of York. This inspiring text offers guidance and innovative ideas for teaching and learning. It explains how nurses make clinical decisions through the development of narratives, and how, using narratives, nurses gain a far more intimate knowledge of the patient than doctors can. The book considers service delivery around patients, renegotiation of professional roles of medical staff and their boundaries of responsibility and authority. "

Clinical Decision Support: Tools, Strategies, and Emerging Technologies, An Issue of the Clinics in Laboratory Medicine, Ebook

Clinical Decision Support: Tools, Strategies, and Emerging Technologies, An Issue of the Clinics in Laboratory Medicine, Ebook
  • Author : Anand S Dighe
  • Publisher : Elsevier Health Sciences
  • Release : 08 May 2019
GET THIS BOOKClinical Decision Support: Tools, Strategies, and Emerging Technologies, An Issue of the Clinics in Laboratory Medicine, Ebook

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

Biomedical Informatics

Biomedical Informatics
  • Author : Edward H. Shortliffe,James J. Cimino
  • Publisher : Springer Science & Business Media
  • Release : 02 December 2013
GET THIS BOOKBiomedical Informatics

The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive