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Author: Agency for Healthcare Research and Quality/AHRQ Publisher: Government Printing Office ISBN: 1587634333 Category : Medical Languages : en Pages : 385
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: Agency for Healthcare Research and Quality/AHRQ Publisher: Government Printing Office ISBN: 1587634333 Category : Medical Languages : en Pages : 385
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: Jason W. Osborne Publisher: SAGE ISBN: 1412988012 Category : Mathematics Languages : en Pages : 297
Book Description
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Author: Evren Eryurek Publisher: "O'Reilly Media, Inc." ISBN: 1492063444 Category : Computers Languages : en Pages : 254
Book Description
As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization. Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how. You'll learn: Data governance strategies addressing people, processes, and tools Benefits and challenges of a cloud-based data governance approach How data governance is conducted from ingest to preparation and use How to handle the ongoing improvement of data quality Challenges and techniques in governing streaming data Data protection for authentication, security, backup, and monitoring How to build a data culture in your organization
Author: Jian Qin Publisher: American Library Association ISBN: 0838948634 Category : Language Arts & Disciplines Languages : en Pages : 640
Book Description
This benchmark text is back in a new edition thoroughly updated to incorporate developments and changes in metadata and related domains. Zeng and Qin provide a solid grounding in the variety and interrelationships among different metadata types, offering a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond. Readers will gain knowledge and an understanding of key topics such as the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions; metadata building blocks, from modeling to defining properties, from designing application profiles to implementing value vocabularies, and from specification generating to schema encoding, illustrated with new examples; best practices for metadata as linked data, the new functionality brought by implementing the linked data principles, and the importance of knowledge organization systems; resource metadata services, quality measurement, and interoperability approaches; research data management concepts like the FAIR principles, metadata publishing on the web and the recommendations by the W3C in 2017, related Open Science metadata standards such as Data Catalog Vocabulary (DCAT) version 2, and metadata-enabled reproducibility and replicability of research data; standards used in libraries, archives, museums, and other information institutions, plus existing metadata standards’ new versions, such as the EAD 3, LIDO 1.1, MODS 3.7, DC Terms 2020 release coordinating its ISO 15396-2:2019, and Schema.org’s update in responding to the pandemic; and newer, trending forces that are impacting the metadata domain, including entity management, semantic enrichment for the existing metadata, mashup culture such as enhanced Wikimedia contents, knowledge graphs and related processes, semantic annotations and analysis for unstructured data, and supporting digital humanities (DH) through smart data. A supplementary website provides additional resources, including examples, exercises, main takeaways, and editable files for educators and trainers.
Author: Julian P. T. Higgins Publisher: Wiley ISBN: 9780470699515 Category : Medical Languages : en Pages : 672
Book Description
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Author: Kathryn Parker Boudett Publisher: ISBN: Category : Education Languages : en Pages : 230
Book Description
"Data Wise" is a proven process for collecting and using big data in schools. This book provides a blueprint schools can use to initiate school-wide conversations about these data and make better decisions to enhance school culture and climate.
Author: Sandra Logan-McKibben, PhD, NCC, NCSC, ACS, BC-TMH Publisher: Springer Publishing Company ISBN: 0826185541 Category : Psychology Languages : en Pages : 185
Book Description
Showcases assessments that specifically support the unique work of school counselors! Written specifically for school counselors and those in training, this is the first book to highlight the use of assessment and data collection to effectively advocate for student success. It bridges the gap in relevant knowledge and skills by not only delineating the requirements for formulating a data-driven approach, but also presenting actual assessments that can immediately be implemented. Underscoring the professional and ethical responsibilities of practicing school counselors to be data-driven, the book delivers the guidance and instruments needed to access multiple levels of data. This includes individual student data, school-level data, school counseling program-level data, or data regarding the school counselors' practices or beliefs. This practical, user-friendly book is organized step-by-step, starting with foundational knowledge and progressing towards application. It introduces readers to both formal and informal assessments and provides examples of how to integrate assessments within comprehensive school counseling programs (CSCP). It addresses a variety of approaches to assessments and data collection across the domains of academic, career, and social-emotional development, and examines needs assessment and program evaluation to drive the development and implementation of a CSCP. Additionally, the resource explains each type of data, reinforced with examples across domains and school levels. Also included are technology tools that can aid in the assessment and data collection process as well as accountability reporting. Key Features: Provides specific, concrete steps for using assessment and data collection to advocate for student success and develop effective CSCPs Includes examples of data collection tools, assessments, charts, tables, and illustrations Delivers hands-on application tasks throughout Delineates valid and reliable instruments to bolster effectiveness Includes downloadable appendix with formal assessments and templates to complete tasks described throughout the text
Author: Publisher: ISBN: Category : Educational statistics Languages : en Pages : 156
Book Description
A report of the Cooperative Education Data Collection and Reporting (CEDCAR) Standards Project Task Force under contract to the National Center for Education Statistics, U.S. Department of Education.
Author: Agency for Healthcare Research and Quality/AHRQ
Author: Agency for Healthcare Research and Quality/AHRQ
Author: Jason W. Osborne
Author: Peter Naur
Author: Evren Eryurek
Author: Greg Guest
Author: Jian Qin
Author: Julian P. T. Higgins
Author: Kathryn Parker Boudett
Author: Sandra Logan-McKibben, PhD, NCC, NCSC, ACS, BC-TMH
Author: