April 12, 2021

Download Ebook Free Clinical Decision Support

Clinical Decision Support

Clinical Decision Support
Author : Robert A. Greenes
Publisher : Elsevier
Release Date : 2011-04-28
Category : Science
Total pages :544
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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.

Fundamentals of Clinical Data Science

Fundamentals of Clinical Data Science
Author : Pieter Kubben,Michel Dumontier,Andre Dekker
Publisher : Springer
Release Date : 2018-12-21
Category : Medical
Total pages :219
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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.

Clinical Decision Support Systems

Clinical Decision Support Systems
Author : Eta S. Berner
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
Category : Medical
Total pages :265
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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.

Reinventing Clinical Decision Support

Reinventing Clinical Decision Support
Author : Paul Cerrato,John Halamka
Publisher : Taylor & Francis
Release Date : 2020-01-15
Category : Business & Economics
Total pages :166
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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, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Clinical Decision Support Systems

Clinical Decision Support Systems
Author : Eta S. Berner
Publisher : Springer Science & Business Media
Release Date : 2013-06-29
Category : Medical
Total pages :265
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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: 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 Date : 2019-05-08
Category : Medical
Total pages :129
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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.

Optimizing Strategies for Clinical Decision Support

Optimizing Strategies for Clinical Decision Support
Author : James E. Tcheng
Publisher : Unknown
Release Date : 2017
Category :
Total pages :96
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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 care team. This summary also includes highlights from discussions about addressing the barriers to realizing the full benefits of CDS-facilitated value improvement. Optimizing Strategies for Clinical Decision Support: Summary of Meeting Series identifies the need for a continuously learning health system driven by the seamless and rapid generation, processing, and practical application of the best available evidence for clinical decision-making, and lays out a series of actionable, collaborative next steps to optimize strategies for adoption and use of clinical decision support.

Improving Outcomes with Clinical Decision Support

Improving Outcomes with Clinical Decision Support
Author : Jerome A. Osheroff, MD, FACP, FACMI,Jonathan M. T
Publisher : HIMSS
Release Date : 2012
Category : Clinical medicine
Total pages :352
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Improving Health Management through Clinical Decision Support Systems

Improving Health Management through Clinical Decision Support Systems
Author : Moon, Jane D.
Publisher : IGI Global
Release Date : 2015-09-25
Category : Medical
Total pages :426
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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 of technology-based medicine, this publication is an essential reference source for clinicians, scientists, health economists, policymakers, academicians, researchers, advanced level students, and government officials interested in health information technology.

Nurses' Clinical Decision Making

Nurses' Clinical Decision Making
Author : Russell Gurbutt,Andy Carty
Publisher : Routledge
Release Date : 2018-12-13
Category : Medical
Total pages :144
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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. "Nurses' Clinical Decision Making" will appeal to all undergraduate and postgraduate students of nursing, registered nurses and nurse managers. Nurse educators, hospital managers, doctors and healthcare risk managers will also find the information contained here invaluable. 'If nurses are decision-makers how can their role and practice be explained? Can decision-making be taught and are there different levels of decision-making skill? If so, how can expert decision-makers be recognised? These are just some of the pertinent questions that need to be asked if we are to recognise and understand the centrality of clinical decision-making in nursing practice. Clinical work is complex and takes place in a complex environment that centres around individuals who themselves are physically, socially and spiritually complex. Clinical work also involves multiple participants (nurses, doctors, patients, physiotherapists, occupational therapists, pharmacists to name a few) who in the course of a days work can make scores of decisions.' - Russell Gurbutt, in the Preface.

Improving Outcomes with Clinical Decision Support

Improving Outcomes with Clinical Decision Support
Author : Jerry Osheroff,Jonathan M. Teich,Donald Lee Levick,Luis Saldaña,Ferdinand Velasco,Dean F. Sittig,Robert Jenders
Publisher : HIMSS Publishing
Release Date : 2012
Category : BUSINESS & ECONOMICS
Total pages :348
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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.

Clinical Decision Support

Clinical Decision Support
Author : Robert A. Greenes
Publisher : Academic Press
Release Date : 2014-03-26
Category : Computers
Total pages :930
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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 focus on the broader international perspective. Clinical Decision Support, 2nd Edition explores the technology, sources of knowledge, evolution of successful forms of CDS, and organizational and policy perspectives surrounding CDS. Exploring a roadmap for CDS, with all its efficacy benefits including reduced errors, improved quality, and cost savings, as well as the still substantial roadblocks needed to be overcome by policy-makers, clinicians, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an updated and pragmatic view of the methodological processes and implementation considerations. This book also considers advanced technologies and architectures, standards, and cooperative activities needed on a societal basis for truly large-scale adoption. At least 40% updated, and seven new chapters since the previous edition, with the new and revised content focused on new opportunities and challenges for clinical decision support at point of care, given changes in science, technology, regulatory policy, and healthcare finance Informs healthcare leaders and planners, health IT system developers, healthcare IT organization leaders and staff, clinical informatics professionals and researchers, and clinicians with an interest in the role of technology in shaping healthcare of the future

Clinical Decision Support

Clinical Decision Support
Author : Anonim
Publisher : Unknown
Release Date : 2014
Category :
Total pages :65
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Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
Author : Hayit Greenspan,Henning Müller,Tanveer Syeda-Mahmood
Publisher : Springer
Release Date : 2013-02-20
Category : Computers
Total pages :145
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This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012. The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.

Clinical Decision Support, Alarms and Warnings

Clinical Decision Support, Alarms and Warnings
Author : Anonim
Publisher : Unknown
Release Date : 2013
Category :
Total pages :46
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