Optimizing Strategies For Clinical Decision Support
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Optimizing Strategies For Clinical Decision Support
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Author : James E. Tcheng
language : en
Publisher:
Release Date : 2017
Optimizing Strategies For Clinical Decision Support written by James E. Tcheng and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
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.
Optimizing Strategies For Clinical Decision Support
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Author : National Academy of Medicine
language : en
Publisher:
Release Date : 2023-09-08
Optimizing Strategies For Clinical Decision Support written by National Academy of Medicine and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-08 with categories.
As a 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 on a meeting series in which a multi-stakeholder 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 to address the barriers to realizing the full benefits of CDS-facilitated value improvement. Optimizing Strategies for Clinical Decision Support 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 CDS.
Fundamentals Of Clinical Data Science
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Author : Pieter Kubben
language : en
Publisher: Springer
Release Date : 2018-12-21
Fundamentals Of Clinical Data Science written by Pieter Kubben and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-21 with Medical categories.
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
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Author : Eta S. Berner
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-03
Clinical Decision Support Systems written by Eta S. Berner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-03 with Medical categories.
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 impact of computer-based diagnostic tools both from the practitioner’s perspective and that of the patient.
Clinical Trial Optimization Using R
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Author : Alex Dmitrienko
language : en
Publisher: CRC Press
Release Date : 2019-03-22
Clinical Trial Optimization Using R written by Alex Dmitrienko and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-22 with categories.
Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy selection in clinical development, through a series of examples and case studies. It provides the clinical researcher with a powerful evaluation paradigm, as well as supportive R tools, to evaluate and select among simultaneous competing designs or analysis options. It is applicable broadly to statisticians and other quantitative clinical trialists, who have an interest in optimizing clinical trials, clinical trial programs, or associated analytics and decision making. This book presents in depth the Clinical Scenario Evaluation (CSE) framework, and discusses optimization strategies, including the quantitative assessment of tradeoffs. A variety of common development challenges are evaluated as case studies, and used to show how this framework both simplifies and optimizes strategy selection. Specific settings include optimizing adaptive designs, multiplicity and subgroup analysis strategies, and overall development decision-making criteria around Go/No-Go. After this book, the reader will be equipped to extend the CSE framework to their particular development challenges as well.
Reinventing Clinical Decision Support
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Author : Paul Cerrato
language : en
Publisher: Taylor & Francis
Release Date : 2020-01-06
Reinventing Clinical Decision Support written by Paul Cerrato and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-06 with Business & Economics categories.
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.
Intelligent Decision Making Through Bio Inspired Optimization
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Author : Jaganathan, Ramkumar
language : en
Publisher: IGI Global
Release Date : 2024-04-15
Intelligent Decision Making Through Bio Inspired Optimization written by Jaganathan, Ramkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.
Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.
Clinical Decision Support For Pharmacogenomic Precision Medicine
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Author : Beth Devine
language : en
Publisher: Academic Press
Release Date : 2022-06-14
Clinical Decision Support For Pharmacogenomic Precision Medicine written by Beth Devine and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Medical categories.
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
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Author : Paul Cerrato
language : en
Publisher: Taylor & Francis
Release Date : 2021-08-02
Reinventing Clinical Decision Support written by Paul Cerrato and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-02 with Clinical medicine categories.
The book explains to physicians and technologists the value and limitations of artificial intelligence in the management of disease. Specifically, it explains how machine learning and new types of data analysis will improve diagnosis and personalize patient care.
Unifying The Applications And Foundations Of Biomedical And Health Informatics
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Author : J. Mantas
language : en
Publisher: IOS Press
Release Date : 2016-07-21
Unifying The Applications And Foundations Of Biomedical And Health Informatics written by J. Mantas and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-21 with Medical categories.
Informatics and technology have become an intrinsic part of healthcare management in recent years; it is almost impossible to imagine a modern healthcare system without them. This book presents the proceedings of the 14th annual International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), held in Athens, Greece, in July 2016. The conference treats the field of biomedical informatics in a very broad framework, and the 68 full papers included here examine the research and applications outcomes of informatics from cell to population, including a number of technologies such as imaging, sensors, mobile communications, biomedical equipment and management, as well as legal and societal issues related to the application of health informatics. The book is divided into sections: Biomedical Technology; Clinical Informatics; E-learning and Education; Formalisation of Knowledge, Ontologies, Clinical Guidelines and Standards of Healthcare; Health Informatics; Healthcare Management and Public Health; mHealth and Telemedicine; and Social Media and Health. Also included are two keynote speeches. Covering a wide spectrum of applications, the book will be of interest to all those working in the design, management and delivery of healthcare services whose work involves the development or use of biomedical informatics.