Clinical Decision Support Systems

Produk Detail:
  • Author : Eta S. Berner
  • Publisher : Springer Science & Business Media
  • Pages : 265 pages
  • ISBN : 1475739036
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Clinical Decision Support Systems

Download or Read online Clinical Decision Support Systems full in PDF, ePub and kindle. this book written by Eta S. Berner and published by Springer Science & Business Media which was released on 29 June 2013 with total page 265 pages. We cannot guarantee that Clinical Decision Support Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Clinical Decision Support Systems

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

Clinical Decision Support Systems

Clinical Decision Support Systems
  • Author : Eta S. Berner
  • Publisher : Springer Science & Business Media
  • Release : 03 April 2007
GET THIS BOOK Clinical Decision Support Systems

This is a resource book on clinical decision support systems for informatics specialists, a textbook for teachers or students in health informatics and a comprehensive introduction for clinicians. It has become obvious that, in addition to physicians, other health professionals have need of decision support. Therefore, the issues raised in this book apply to a broad range of clinicians. The book includes chapters written by internationally recognized experts on the design, evaluation and application of these systems, who examine the

Clinical Decision Support

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

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 BOOK 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

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 BOOK Improving 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

Reinventing Clinical Decision Support

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

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

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

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

Development of Clinical Decision Support Systems using Bayesian Networks

Development of Clinical Decision Support Systems using Bayesian Networks
  • Author : Mario A. Cypko
  • Publisher : Springer Nature
  • Release : 30 November 2020
GET THIS BOOK Development of Clinical Decision Support Systems using Bayesian Networks

For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert models of multidisciplinary clinical treatment decisions and solves challenges in their modeling. The presented methods, models and tools are developed in close and intensive cooperation between knowledge engineers and clinicians. In the course of this study, laryngeal cancer serves as an exemplary treatment decision. The reader is guided through a development process and new opportunities for research and development are opened up:

Clinical Decision Support for Pharmacogenomic Precision Medicine

Clinical Decision Support for Pharmacogenomic Precision Medicine
  • Author : Beth Devine,Richard David Boyce,Kristin Wiisanen
  • Publisher : Academic Press
  • Release : 14 June 2022
GET THIS BOOK Clinical Decision Support for Pharmacogenomic Precision Medicine

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

A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care

A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care
  • Author : Kamran Farooq
  • Publisher : GRIN Verlag
  • Release : 16 June 2016
GET THIS BOOK A Novel Ontology and Machine Learning Driven Hybrid Clinical Decision Support Framework for Cardiovascular Preventative Care

Doctoral Thesis / Dissertation from the year 2015 in the subject Computer Science - Miscellaneous, grade: -, University of Stirling (Computing Science and Mathematics), language: English, abstract: Clinical risk assessment of chronic illnesses is a challenging and complex task which requires the utilisation of standardised clinical practice guidelines and documentation procedures in order to ensure consistent and efficient patient care. Conventional cardiovascular decision support systems have significant limitations, which include the inflexibility to deal with complex clinical processes, hard-wired rigid architectures based

An Outline of Clinical Decision Making for Physiotherapists

An Outline of Clinical Decision Making for Physiotherapists
  • Author : Auwal Abdullahi
  • Publisher : Cambridge Scholars Publishing
  • Release : 08 October 2019
GET THIS BOOK An Outline of Clinical Decision Making for Physiotherapists

This volume takes therapists and other health professionals on a journey of self-discovery, wherein they will find guides on how to hone their clinical skills in making clinical decisions. Additionally, it will help the therapist arm themselves with the necessary skills to practice within the realm of ethics.

Medical Device Data and Modeling for Clinical Decision Making

Medical Device Data and Modeling for Clinical Decision Making
  • Author : John R. Zaleski
  • Publisher : Artech House
  • Release : 08 December 2022
GET THIS BOOK Medical Device Data and Modeling for Clinical Decision Making

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

Hybrid Cardiac Imaging for Clinical Decision Making

Hybrid Cardiac Imaging for Clinical Decision Making
  • Author : Francesco Nudi,Orazio Schillaci,Giuseppe Biondi-Zoccai,Ami E. Iskandrian
  • Publisher : Springer Nature
  • Release : 11 September 2022
GET THIS BOOK Hybrid Cardiac Imaging for Clinical Decision Making

Performing any diagnostic test in medicine is always a matter of trying to get the condition of the patient diagnosed properly with the least effort, exposure, discomfort and at the same time with the lowest possible error probability. Pre-test probability is helpful but often imprecise, effectively overestimating the patient's risk profile. In a broader prevention objective, the phases of a disease, its onset, progression, and complications must be taken into account. The negative predictive value, which is so important, has