Fundamentals of Clinical Data Science Book

Fundamentals of Clinical Data Science

  • Author : Pieter Kubben
  • Publisher : Springer
  • File Size : 7,6 Mb
  • Release Date : 2018-12-21
  • Genre: Medical
  • Pages : 219
  • ISBN 10 : 9783319997131
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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 Book

Clinical Decision Support

  • Author : Robert A. Greenes
  • Publisher : Academic Press
  • File Size : 13,8 Mb
  • Release Date : 2014-03-26
  • Genre: Computers
  • Pages : 930
  • ISBN 10 : 9780128005422
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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 Systems Book

Clinical Decision Support Systems

  • Author : Eta S. Berner
  • Publisher : Springer Science & Business Media
  • File Size : 18,5 Mb
  • Release Date : 2013-06-29
  • Genre: Medical
  • Pages : 265
  • ISBN 10 : 9781475739039
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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.

Improving Outcomes with Clinical Decision Support Book

Improving Outcomes with Clinical Decision Support

  • Author : Jerome. A Osheroff
  • Publisher : CRC Press
  • File Size : 12,7 Mb
  • Release Date : 2021-02-28
  • Genre: Business & Economics
  • Pages : 348
  • ISBN 10 : 9781498757461
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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 for Pharmacogenomic Precision Medicine Book

Clinical Decision Support for Pharmacogenomic Precision Medicine

  • Author : Beth Devine
  • Publisher : Academic Press
  • File Size : 19,9 Mb
  • Release Date : 2022-06-14
  • Genre: Medical
  • Pages : 300
  • ISBN 10 : 9780128244548
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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 existing gene networks include CSER, eMERGE, the IGNITE network, DIGITIZE, the CDS Learning Network (RTI), ClinGen, Ubiquitous and CDS Hooks. Offers an applied, case-driven discussion of CDS for pharmacogenomic precision medicine Illustrates key concepts, contemporary developments, and future directions using examples of existing gene networks Features contributions from leading voices in precision medicine and clinical decision support

Reinventing Clinical Decision Support Book

Reinventing Clinical Decision Support

  • Author : Paul Cerrato
  • Publisher : Taylor & Francis
  • File Size : 5,6 Mb
  • Release Date : 2020-01-15
  • Genre: Business & Economics
  • Pages : 166
  • ISBN 10 : 9781000055559
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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 genera

Red Book Pediatric Infectious Diseases Clinical Decision Support Chart Book

Red Book Pediatric Infectious Diseases Clinical Decision Support Chart

  • Author : David W. Kimberlin
  • Publisher : Unknown
  • File Size : 11,5 Mb
  • Release Date : 2021-07-20
  • Genre: Uncategoriezed
  • Pages : 0
  • ISBN 10 : 1610025083
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The second edition of this full-color chart collects many of the most clinically useful tables and charts from the Red Book and presents them in a colorized and easy to navigate chart.

Biomedical Informatics Book
Score: 5
From 1 Ratings

Biomedical Informatics

  • Author : Edward H. Shortliffe
  • Publisher : Springer Science & Business Media
  • File Size : 9,5 Mb
  • Release Date : 2013-12-02
  • Genre: Medical
  • Pages : 965
  • ISBN 10 : 9781447144748
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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 introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.

Multimodal Learning for Clinical Decision Support and Clinical Image Based Procedures Book

Multimodal Learning for Clinical Decision Support and Clinical Image Based Procedures

  • Author : Tanveer Syeda-Mahmood
  • Publisher : Springer Nature
  • File Size : 15,9 Mb
  • Release Date : 2020-10-03
  • Genre: Computers
  • Pages : 138
  • ISBN 10 : 9783030609467
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This book constitutes the refereed joint proceedings of the 10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. The 4 full papers presented at ML-CDS 2020 and the 9 full papers presented at CLIP 2020 were carefully reviewed and selected from numerous submissions to ML-CDS and 10 submissions to CLIP. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Clinical Decision Support Book
Score: 4
From 2 Ratings

Clinical Decision Support

  • Author : Robert A. Greenes
  • Publisher : Elsevier
  • File Size : 20,6 Mb
  • Release Date : 2011-04-28
  • Genre: Science
  • Pages : 544
  • ISBN 10 : 0080467695
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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.

Guide to Health Informatics Book

Guide to Health Informatics

  • Author : Enrico Coiera
  • Publisher : CRC Press
  • File Size : 12,9 Mb
  • Release Date : 2015-03-06
  • Genre: Medical
  • Pages : 710
  • ISBN 10 : 9781444170504
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This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible an

Medical Decision Making Book

Medical Decision Making

  • Author : Harold C. Sox
  • Publisher : John Wiley & Sons
  • File Size : 15,9 Mb
  • Release Date : 2013-05-08
  • Genre: Medical
  • Pages : 368
  • ISBN 10 : 9781118341568
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This book clearly demonstrates how to best make medicaldecisions while incorporating clinical practice guidelines anddecision support systems for electronic medical record systems. New to this edition is how medical decision making ideas arebeing incorporated into clinical decision support systems inelectronic medical records and also how they are being used toshape practice guidelines and policies.

Research Anthology on Decision Support Systems and Decision Management in Healthcare Business and Engineering Book

Research Anthology on Decision Support Systems and Decision Management in Healthcare Business and Engineering

  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • File Size : 8,5 Mb
  • Release Date : 2021-05-28
  • Genre: Business & Economics
  • Pages : 1538
  • ISBN 10 : 9781799890249
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Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.

Optimizing Strategies for Clinical Decision Support Book

Optimizing Strategies for Clinical Decision Support

  • Author : James E. Tcheng
  • Publisher : Unknown
  • File Size : 7,7 Mb
  • Release Date : 2017
  • Genre: Uncategoriezed
  • Pages : 96
  • ISBN 10 : 1947103083
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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.

Clinical Decision Making and Judgement in Nursing Book

Clinical Decision Making and Judgement in Nursing

  • Author : Carl Thompson
  • Publisher : Elsevier Health Sciences
  • File Size : 17,5 Mb
  • Release Date : 2002
  • Genre: Medical
  • Pages : 199
  • ISBN 10 : 0443070768
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The book will give a critical overview of the current research literature regarding the topic of clinical decision making and judgement in nursing. This is in contrast to other texts which either rely on anecdotal evidence to justify their approach, or focus on medical (rather than nurse) decision making. The text aims to help individuals apply different techniques to practice, aiming for a 'non-academic' style which will be easy for readers to understand. Both the editors are researchers in the field of nurse decision making and have considerable experience teaching the subject on third level diploma/degree, masters level and post-registration nursing courses. This text is therefore unique in drawing together both the research (current as well as that which has already been published) and practical experience of implementing techniques in practice.