株式会社極東書店トップ商品一覧Improving Population Health Using Electronic Health Records : Methods for Data Management and Epidemiological Analysis.

商品詳細

Improving Population Health Using Electronic Health Records

Improving Population Health Using Electronic Health Records : Methods for Data Management and Epidemiological Analysis. EHRを用いた人々の健康の向上

・ISBN 978-1-4987-5910-6 hard GB£ 170.00

¥53,856.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

・ISBN 978-1-138-19637-7 paper GB£ 66.99

¥21,222.- (税込) (※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。

お気に入り

電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-315-15310-0

※この電子ブックは「電子ブックを探す(KPESS)」の価格表にまだ収録されていないため、価格は「お問い合わせ」からご確認ください。

著者・編者Goldstein, Neal D.,
出版社(CRC Pr., US)
出版年月2017
ページ数236 pp.
言語ENG
ニュース番号<636-744 636-P1532>

解説

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.