November 29, 2020

Download Ebook Free Clinical Decision Support

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

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

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.

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.

Reinventing Clinical Decision Support

Reinventing Clinical Decision Support
Author : Paul Cerrato,John Halamka
Publisher : HIMSS Book Series
Release Date : 2019-12-17
Category :
Total pages :184
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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.

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 : Jane D Moon,Mary P. Galea
Publisher : Unknown
Release Date : 2015-09-11
Category : Medical
Total pages :446
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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.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
Author : Barbara Caputo,Henning Müller,Tanveer Syeda-Mahmood,James Duncan,Jayashree Kalpathy-Cramer,Fei Wang
Publisher : Springer Science & Business Media
Release Date : 2010-02-15
Category : Business & Economics
Total pages :119
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The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available.

Knowledge Bases for Clinical Decision Support in Drug Prescribing - Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value

Knowledge Bases for Clinical Decision Support in Drug Prescribing - Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value
Author : Birgit Eiermann
Publisher : Unknown
Release Date : 2010
Category : Computers
Total pages :129
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Knowledge Bases for Clinical Decision Support in Drug Prescribing - Development, Quality Assurance, Management, Integration, Implementation and Evaluation of Clinical Value.

Medical Content-Based Retrieval for Clinical Decision Support

Medical Content-Based Retrieval for Clinical Decision Support
Author : Henning Mueller,Hayit Greenspan,Tanveer Syeda-Mahmood
Publisher : Springer Science & Business Media
Release Date : 2012-03
Category : Business & Economics
Total pages :153
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2011, held in Toronto, Canada, in September 2011. The 11 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 17 submissions. The papers are divided on several topics on medical image retrieval with textual approaches, visual word based approaches, applications and multidimensional retrieval.

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.

5210 Pediatric Obesity Clinical Decision Support Chart

5210 Pediatric Obesity Clinical Decision Support Chart
Author : American Academy of Pediatrics Section on Obesity
Publisher : Unknown
Release Date : 2019-10-30
Category :
Total pages :36
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Obtain the latest tools and practice recommendations from leading experts on how to tackle childhood obesity. Completely revised and updated, the third edition provides clinicians with point-of-care guidance on the assessment, prevention, and treatment of obesity for children older than 2 years. The convenient flip chart includes full-color illustrations throughout providing health care professionals practical support and guidance to help improve care and outcomes for youth who are overweight. New in the 3rd Edition A custom, hand-based portion size estimation tool A "sample meal options" checklist In-office assessment of habits tool An algorithm for the assessment and management of childhood obesity in patients 2 years and older Pharmacological treatment of hypertension A sample "portion control placemat" Key Features Step-by-step prevention, assessment, and treatment interventions for the overweight and obese child developed by the CDC 15-minute obesity prevention/intervention protocol Hypertension evaluation and management guidelines Growth charts spanning birth to age 20 years, including body mass index-for-age percentiles Coding information for obesity-related health services (ICD-10 codes) Next Steps child weight reduction and management strategies

Interaction with Clinical Decision Support Systems: The Challenge of Having a Steak with No Knife

Interaction with Clinical Decision Support Systems: The Challenge of Having a Steak with No Knife
Author : Pouyan Esmaeilzadeh
Publisher : Unknown
Release Date : 2012
Category : Medicine
Total pages :129
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Interaction with Clinical Decision Support Systems: The Challenge of Having a Steak with No Knife.

Computer-aided Technologies

Computer-aided Technologies
Author : Razvan Udroiu
Publisher : BoD – Books on Demand
Release Date : 2016-12-07
Category : Computers
Total pages :170
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The aim of this book is to present the latest applications, trends, and developments of computer-aided technologies (CAx). Computer-aided technologies are the core of product lifecycle management (PLM) and human lifecycle management (HUM). This book has seven chapters, organized in two sections: "Computer-Aided Technologies in Engineering" and "Computer-Aided Technologies in Medicine." The first section treats the different aspects of PLM, including design, simulations and analysis, manufacturing, production planning, and quality assurance. In the second part of the book are presented CAx applications in medicine focused on clinical decision, diagnosis, and biosensor design. CAx plays a key role in a variety of engineering and medical applications, bringing a lot of benefits in product life cycle, extending and improving human life.

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.