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.

Clinical Decision Support Systems

Author: Eta S. Berner

Publisher: Springer Science & Business Media

ISBN: 1475739036

Page: 265

View: 671

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.

Development of Clinical Decision Support Systems Using Bayesian Networks

Mario A. Cypko completed his PhD at the Computer Science department of the University of Leipzig, Germany. He was a postdoctoral research fellow in the Human Research Office of the European Space Agency in the Netherlands.

Development of Clinical Decision Support Systems Using Bayesian Networks

Author: Mario A. Cypko

Publisher:

ISBN: 3658325941

Page: 148

View: 309

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: in modeling and validation of workflows, guided modeling, semi-automated modeling, advanced Bayesian networks, model-user interaction, inter-institutional modeling and quality management. Contents Patient-specific Bayesian Network in a Clinical Environment TreLynCa: A Tumor Board Decision Model for Laryngeal Cancer Model Validation and Tools for Guided BN Modeling GUI for PSBN-based decision verification Target Groups Scientists and students in the field of medical informatics, computer science, medicine and psychology About the Author Dr.-Ing. Mario A. Cypko completed his PhD at the Computer Science department of the University of Leipzig, Germany. He was a postdoctoral research fellow in the Human Research Office of the European Space Agency in the Netherlands. He is currently a postdoctoral research assistant at the German Heart Center Berlin, Germany.

Clinical Decision Support

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 ...

Clinical Decision Support

Author: Robert A. Greenes

Publisher: Academic Press

ISBN: 0128005424

Page: 930

View: 305

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 and Beyond Progress and Opportunities in Knowledge Enhanced Health and Healthcare

The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, ...

Clinical Decision Support and Beyond  Progress and Opportunities in Knowledge Enhanced Health and Healthcare

Author: Robert Greenes

Publisher: Academic Press

ISBN: 9780323912006

Page:

View: 794

Clinical Decision Support: The Next Generation, now in its third edition, discusses the underpinnings of effective, reliable, and easy to use clinical decision support systems at the point of care as a productive way of managing the flood of data, knowledge, and misinformation when providing patient care. Incorporating CDS into electronic health record systems has been underway for decades, however its complexities, costs, and user resistance have lagged their potential though, thus it is of utmost importance to understand the process in details to take full advantage of its capabilities. The book expands and updates the content of the previous edition, and discusses topics such as integration of CDS into workflow, context-driven anticipation of needs for CDS, new forms of CDS derived from data analytics, precision medicine, population health, integration of personal monitoring, and patient-facing CDS. In addition, it discusses population health management, public health CDS and CDS to help reduce health disparities. It is a valuable resource for clinicians, practitioners, students and members of medical and biomedical fields who are interested to learn more about the potential of clinical decision support to improve the quality of health care.

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

This issue is one of four issues selected per year by the series Consulting Editor, Milenko Jovan Tanasijevic.

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

ISBN: 0323681166

Page:

View: 376

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.

Medical Content Based Retrieval for Clinical Decision Support

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.

Medical Content Based Retrieval for Clinical Decision Support

Author: Hayit Greenspan

Publisher: Springer

ISBN: 3642366783

Page: 145

View: 208

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.

Improving Health Management through Clinical Decision Support Systems

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.

Improving Health Management through Clinical Decision Support Systems

Author: Moon, Jane D.

Publisher: IGI Global

ISBN: 1466694335

Page: 426

View: 397

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.

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 ...

Reinventing Clinical Decision Support

Author: Paul Cerrato

Publisher: Taylor & Francis

ISBN: 1000055558

Page: 166

View: 244

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.

Health Decision Support Systems

This textbook is a logical continuation of Dr. Tan's first book, Healt h Management Information Systems.

Health Decision Support Systems

Author: Joseph K. H. Tan

Publisher: Jones & Bartlett Learning

ISBN: 9780834210653

Page: 408

View: 633

This textbook is a logical continuation of Dr. Tan's first book, Healt h Management Information Systems. For graduate level and upper level u ndergraduate courses, it explains the use of health decision support s ystems throughout the health care industry, citing examples from hospi tals, managed care organizations and long term care facilities. This b ook includes learning objectives, case studies and review questions. A n Instructor's guide is also available.

Optimizing Strategies for Clinical Decision Support

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 ...

Optimizing Strategies for Clinical Decision Support

Author: James E. Tcheng

Publisher:

ISBN: 9781947103085

Page: 96

View: 614

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.

5210 Pediatric Obesity Clinical Decision Support Chart

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 ...

5210 Pediatric Obesity Clinical Decision Support Chart

Author: American Academy of Pediatrics Section on Obesity

Publisher:

ISBN: 9781610023542

Page: 36

View: 674

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

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.

Medical Device Data and Modeling for Clinical Decision Making

Author: John R. Zaleski

Publisher: Artech House

ISBN: 1608070956

Page: 356

View: 499

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 bioinformaticists the practical benefits of using medical device data. Supported with over 100 illustrations, this all-in-one resource discusses key concepts in detail and then presents clear implementation examples to give you a complete understanding of how to use this knowledge in the field.

Hot Off the Press Embedded Clinical Decision Support in Electronic Health Record Decreases Use of High cost Imaging in the Emergency Department EmbED Study

This article summarizes the manuscript and the Skeptics Guide to Emergency Medicine podcast, as well as the ensuing social media/online discussion.

Hot Off the Press  Embedded Clinical Decision Support in Electronic Health Record Decreases Use of High   cost Imaging in the Emergency Department  EmbED Study

Author:

Publisher:

ISBN:

Page:

View: 620

Abstract: This longitudinal before/after study of embedded clinical decision rules assessed the effects of clinical decision support on use of common imaging studies. Among high users, rates of computed tomograhy (CT) scan of the brain and CT of the cervical spine were reduced after implementation of embedded clinical decision instruments, while in low users, rates increased. This article summarizes the manuscript and the Skeptics Guide to Emergency Medicine podcast, as well as the ensuing social media/online discussion.

Clinical Decision Making in Optometry

Clinical Decision Making in Optometry provides the optometry student with the decision-making tools necessary to learn good practice skills. Part I introduces the student to the basic skills and issues that arise during clinical encounters.

Clinical Decision Making in Optometry

Author: Ellen Richter Ettinger

Publisher: Butterworth-Heinemann Medical

ISBN: 9780750695718

Page: 416

View: 940

Clinical Decision Making in Optometry provides the optometry student with the decision-making tools necessary to learn good practice skills. Part I introduces the student to the basic skills and issues that arise during clinical encounters. To support the learning process, the diagnosis of each case scenario in Part II is not presented until the end of the chapter. This allows each reader to explore the clinical reasoning narrated by the author and to arrive at his or her own objective diagnosis. Each case scenario concludes with a diagnostic algorithm that summarizes the decision-making process.

Medical 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.

Medical Content Based Retrieval for Clinical Decision Support

Author: Henning Müller

Publisher: Springer

ISBN: 3642117694

Page: 121

View: 701

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.

Improving Medication Use and Outcomes with Clinical Decision Support

The Guide is designed to help clinical decision support implementers improve medication use (and associated outcomes) in their organizations by providing practical recommendations for successfully implementing CDS focused on these targets.

Improving Medication Use and Outcomes with Clinical Decision Support

Author: Jerome A. Osheroff

Publisher: United States Pharmacopeial

ISBN: 9780980069730

Page: 273

View: 138

Improving Medication Use and Outcomes with Clinical Decision Support is the result of a ground-breaking collaboration by dozens of individuals and organizations, with diverse perspectives and competencies. Edited by Jerome Osheroff, MD, the book is co-published by HIMSS, the Scottsdale Institute, AMIA, ISMP, ASHP, and AMDIS. The Guide is designed to help clinical decision support implementers improve medication use and associated outcomes 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 such as: Optimizing governance structures and management processes Defining outcome improvement opportunities and baselines Setting up interventions in key clinical information systems and for specific targets Deploying CDS interventions to optimize acceptance and value Measuring results and refining the program Approaching CDS knowledge management systematically

A New Neutrosophic Clinical Decision Support Model For The Treatment of Pregnant Women With Heart Diseases

One of the risks during pregnancy, with high negative impact on both pregnant and fetus is cardiovascular disease suffering.

A New Neutrosophic Clinical Decision Support Model For The Treatment of Pregnant Women With Heart Diseases

Author: Salah Hasan Al-subhi

Publisher: Infinite Study

ISBN:

Page: 11

View: 601

One of the risks during pregnancy, with high negative impact on both pregnant and fetus is cardiovascular disease suffering. Early diagnosis and appropriate treatment of this pathology significantly reduce the risk for pregnant. The treatment of pregnant women with heart diseases is characterized by the insufficient availability of experts with knowledge of medical specialties involved, and by the presence of situations of indeterminacy, uncertainty, vagueness, and incomplete data.