Data Linkage and Cancer Registries PDF Download
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Author: European Network of Cancer Registries. Scientific meeting and general assembly
Publisher:
ISBN:
Category :
Languages : en
Pages : 121
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Book Description
Author: European Network of Cancer Registries. Scientific meeting and general assembly
Publisher:
ISBN:
Category :
Languages : en
Pages : 121
Get Book Here
Book Description
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: Ole Møller Jensen
Publisher: IARC
ISBN: 9283211952
Category : Medical
Languages : en
Pages : 295
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Book Description
Data obtained by population based cancer registries have a pivotal role in cancer control. Now also available in Spanish and French, this volume, which contains 15 authored chapters and four useful appendices, remains a standard reference for those planning to establish new cancer registries and those keen to adopt recognized methodologies. Information is given on the techniques required to collect, store, analyse and interpret data.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309071917
Category : Medical
Languages : en
Pages : 176
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Book Description
One of the barriers to improving the quality of cancer care in the United States is the inadequacy of data systems. Out-of-date or incomplete information about the performance of doctors, hospitals, health plans, and public agencies makes it hard to gauge the quality of care. Augmenting today's data systems could start to fill the gap. This report examines the strengths and weaknesses of current systems and makes recommendations for enhancing data systems to improve the quality of cancer care. The board's recommendations fall into three key areas: Enhance key elements of the data system infrastructure (i.e., quality-of-care measures, cancer registries and databases, data collection technologies, and analytic capacity). Expand support for analyses of quality of cancer care using existing data systems. Monitor the effectiveness of data systems to promote quality improvement within health systems.
Author: Katie Harron
Publisher: John Wiley & Sons
ISBN: 1119072484
Category : Medical
Languages : en
Pages : 286
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Book Description
A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
Author: United States
Publisher:
ISBN:
Category : Breast
Languages : en
Pages : 8
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Book Description
Author:
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 76
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Book Description
Author: Herman Menck
Publisher: CRC Press
ISBN: 9783718605873
Category : Cancer
Languages : en
Pages : 334
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Book Description
Practical issues, including the use of computers, selection and training of professional, administrative and technical staff are included, along with quality control procedures, essential to assure the integrity of information kept by the registry. Follow-up procedures, sources of population data, calculation and interpretation of incidence rates and survival rates, and the differences between case-control studies and cohort studies (based on registry data) are also described. Prevention and control applications, and legal issues relative to the confidentiality of information in the data files are also examined. This book covers the goals and objectives of U.S. central cancer registries; the kinds of information they can produce and how this information can be used. The practical considerations involved in case-finding are discussed, covering sources of case reports, and how the central registry works with doctors and hospitals.
Author: Lisa Lix
Publisher:
ISBN: 9781896489810
Category : Cancer
Languages : en
Pages : 151
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Book Description
Author: Peter Christen
Publisher: Springer Science & Business Media
ISBN: 3642311644
Category : Computers
Languages : en
Pages : 279
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Book Description
Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.
