Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals PDF Download
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Author: Ashish Pundhir
Publisher: Elsevier
ISBN: 0443152349
Category : Science
Languages : en
Pages : 406
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Book Description
Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains the step-by-step of collecting and treating research data in a didactic manner. The book discusses four freely available data capture tools whose common feature is data collection and entry being done simultaneously rather than separately, thus saving resources and minimizing potential errors. It highlights the comparative features of each data capture tool, helping readers to understand the advantage and disadvantage of each one to decide which tool can be used to fulfill their needs.This is a valuable resource for researchers, students, and members of the biomedical and medical fields who need to learn more about data mining and management to improve the quality of their research work. - Explains how to use open electronic data capture tools to collect and treat research data - Describes step-by-step how to use these tools with practical examples in illustrative manner by using screenshots, tables, and flow charts for easy understanding - Presents the content in a didactic manner to facilitate real-world applicability for any research need
Author: Ashish Pundhir
Publisher: Elsevier
ISBN: 0443152349
Category : Science
Languages : en
Pages : 406
Get Book Here
Book Description
Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains the step-by-step of collecting and treating research data in a didactic manner. The book discusses four freely available data capture tools whose common feature is data collection and entry being done simultaneously rather than separately, thus saving resources and minimizing potential errors. It highlights the comparative features of each data capture tool, helping readers to understand the advantage and disadvantage of each one to decide which tool can be used to fulfill their needs.This is a valuable resource for researchers, students, and members of the biomedical and medical fields who need to learn more about data mining and management to improve the quality of their research work. - Explains how to use open electronic data capture tools to collect and treat research data - Describes step-by-step how to use these tools with practical examples in illustrative manner by using screenshots, tables, and flow charts for easy understanding - Presents the content in a didactic manner to facilitate real-world applicability for any research need
Author: Markus D. Dubber
Publisher: Oxford University Press
ISBN: 0190067411
Category : Law
Languages : en
Pages : 1000
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Book Description
This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309164257
Category : Medical
Languages : en
Pages : 267
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Book Description
Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research.
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
ISBN: 1587634333
Category : Medical
Languages : en
Pages : 385
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Book Description
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author: Valentin Fuster
Publisher:
ISBN: 9780071636476
Category : Cardiovascular system
Languages : en
Pages : 2444
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Book Description
The trusted landmark cardiology resource thoroughly updated to reflect the latest clinical perspectives Includes DVD with image bank Through thirteen editions Hursts the Heart has always represented the cornerstone of current scholarship in the discipline. Cardiologists, cardiology fellows and internists from across the globe have relied on its unmatched authority breadth of coverage and clinical relevance to help optimize patient outcomes. The thirteenth edition of Hursts the Heart continues this standard-setting tradition with 19 new chapters and 59 new authors, each of whom are internationally recognized as experts in their respective content areas. Featuring an enhanced reader-friendly design the new edition covers need-to-know clinical advances as well as issues that are becoming increasingly vital to cardiologists worldwide. As in previous editions you will find the most complete overview of cardiology topics available plus a timely new focus on evidence-based medicine health outcomes and health quality. New Features: 1548 full-color illustrations and 578 tables. Companion DVD with image bank includes key figures and tables from the text.
Author: World Health Organization
Publisher:
ISBN: 9789240689657
Category : Health planning
Languages : en
Pages : 0
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Book Description
Worldwide the application of information and communication technologies to support national health-care services is rapidly expanding and increasingly important. This is especially so at a time when all health systems face stringent economic challenges and greater demands to provide more and better care especially to those most in need. The National eHealth Strategy Toolkit is an expert practical guide that provides governments their ministries and stakeholders with a solid foundation and method for the development and implementation of a national eHealth vision action plan and monitoring fram.
Author: Carol K. Redmond
Publisher: John Wiley & Sons
ISBN: 9780471822110
Category : Medical
Languages : en
Pages : 530
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Book Description
The second volume in the Wiley reference series in Biostatistics. Featuring articles from the prestigious Encyclopedia of Biostatistics, many of which have been fully revised and updated to include recent developments, Biostatistics in Clinical Trials also includes up to 25% newly commissioned material reflecting the latest thinking in: Bayesian methods Benefit/risk assessment Cost-effectiveness Ethics Fraud With exceptional contributions from leading experts in academia, government and industry, Biostatistics in Clinical Trials has been designed to complement existing texts by providing extensive, up-to-date coverage and introducing the reader to the research literature. Offering comprehensive coverage of all aspects of clinical trials Biostatistics in Clinical Trials: Includes concise definitions and introductions to numerous concepts found in current literature Discusses the software and textbooks available Uses extensive cross-references helping to facilitate further research and enabling the reader to locate definitions and related concepts Biostatistics in Clinical Trials offers both academics and practitioners from various disciplines and settings, such as universities, the pharmaceutical industry and clinical research organisations, up-to-date information as well as references to assist professionals involved in the design and conduct of clinical trials.
Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
Author: William Hersh
Publisher: Springer Science & Business Media
ISBN: 0387226788
Category : Medical
Languages : en
Pages : 524
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Book Description
Coupled with the growth of the World Wide Web, the topic of health information retrieval has had a tremendous impact on consumer health information. With the aid of newly added questions and discussions at the end of each chapter, this Second Edition covers theory practical applications, evaluation, and research directions of all aspects of medical information retireval systems.
Author: Pieter Kubben
Publisher: Springer
ISBN: 3319997130
Category : Medical
Languages : en
Pages : 218
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Book Description
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.
