MARC details
| 000 -LEADER |
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| fixed length control field |
02399aam a2200217 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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171229b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781138196377 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
362.10285 |
| Item number |
G6I6 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Goldstein, Neal D. |
| 9 (RLIN) |
355620 |
| 245 ## - TITLE STATEMENT |
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| Title |
Improving population health using electronic health records: methods for data management and epidemiological analysis |
| Statement of responsibility, etc. |
Goldstein, Neal D. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Name of publisher, distributor, etc. |
Routledge |
| Date of publication, distribution, etc. |
2017 |
| Place of publication, distribution, etc. |
New York |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xix, 254 p. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
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.<br/><br/>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.<br/><br/>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.<br/><br/>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. <br/><br/><br/>https://www.routledge.com/Improving-Population-Health-Using-Electronic-Health-Records-Methods-for/Goldstein/p/book/9781138196377 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Public health practice |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Data mining - Methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Electronic health records - Organization and administration |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Research design |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Epidemiologic methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Quality improvement |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |
