000			02399aam a2200217 4500
008			171229b xxu||||| |||| 00| 0 eng d
020			_a9781138196377
082			_a362.10285 _bG6I6
100			_aGoldstein, Neal D. _9355620
245			_aImproving population health using electronic health records: methods for data management and epidemiological analysis _cGoldstein, Neal D.
260			_bRoutledge _c2017 _aNew York
300			_axix, 254 p.
520			_aElectronic 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. https://www.routledge.com/Improving-Population-Health-Using-Electronic-Health-Records-Methods-for/Goldstein/p/book/9781138196377
650			_aPublic health practice
650			_aData mining - Methods
650			_aElectronic health records - Organization and administration
650			_aResearch design
650			_aEpidemiologic methods
650			_aQuality improvement
942			_2ddc _cBK
999			_c393770 _d393770