Improving population health using electronic health records methods for data management and epidemiological analysis / [electronic resource] :
- 作者： Goldstein, Neal (Neal D.), author.
- 出版： Boca Raton : Routledge, Taylor & Francis Group
- 主題： Medical records--Data processing. , Medical informatics. , Epidemiology. , Public Health Practice. , Data Mining--methods. , Electronic Health Records--organization & administration. , Research Design. , Epidemiologic Methods. , Quality Improvement. , MEDICINE / Administration , MEDICINE / Health Policy , Epidemiology. , Medical informatics. , Medical records--Data processing. , Electronic books.
- ISBN： 9781498759120 (electronic bk.) 、 1498759122 (electronic bk.) 、 9781315153100 (electronic bk.): USD198.00 、 1315153106 (electronic bk.)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references and index. Research in the Era of Electronic Health Records -- How to Use This Book for Research -- UNDERSTANDING THE DATA -- Planning the Research -- Accessing Health Data -- Organizing, Merging, and Linking Data -- Data Management and the Research Dataset. CONDUCTING THE RESEARCH -- Study Design and Sampling -- Measures of Frequency and Risk -- Threats to Validity -- Epidemiological Analysis I -- Epidemiological Analysis II. INTERPRETATION TO IMPLEMENTATION -- Interpreting the Results -- Publication and Presentation -- Improving Population Health.
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讀者標籤：
- 系統號： 005411402 | 機讀編目格式
館藏資訊
Electronic health records (EHRs) have become commonplace in the medical profession. Health data are readily captured and permanently stored in a digital fashion, and consequently, are increasingly being utilized in health research. The quality of this research depends upon the investigator’s ability to obtain the correct data to answer the correct question. It is easy to churn out poor quality research from the EHR; it is much harder to produce meaningful results that influence the population’s health. Improving Population Health Using Electronic Health Records takes the reader through the process of conducting meaningful research from data in the EHR. It de-mystifies the entire research process, from how to ask the right kind of research questions, to obtaining data with particular emphasis on data management and manipulation, to performing a valid statistical analyses, and interpreting and presenting the results in a clear, concise fashion that has the potential to improve population health. This book can be used as a hands-on how-to guide of performing research from EHR data in either a piece-meal fashion, selecting only the topics of greatest interest, or a complete guide to the entire research process. Readers will benefit from the intuitive presentation of complex methods with a multitude of examples. It is invaluable reading for researchers and clinicians who are not otherwise familiar with the complexities of working with large data sets.