Improving Population Health Using Electronic Health Records
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Improving Population Health Using Electronic Health Records : Methods for Data Management and Epidemiological Analysis

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Description

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.
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Product details

  • Paperback | 254 pages
  • 156 x 235 x 17.78mm | 386g
  • CRC Press
  • London, United Kingdom
  • English
  • 92 Line drawings, black and white; 4 Halftones, black and white; 14 Tables, black and white
  • 1138196371
  • 9781138196377
  • 2,609,050

Table of contents

Introduction


Chapter 1. Research in the era of electronic health records


Chapter 2. How to use this book for research


Part I: Understanding the data


Chapter 3. Planning the research


Chapter 4. Accessing health data


Chapter 5. Organizing, merging, and linking data


Chapter 6. Data management and the research dataset


Part II: Conducting the research


Chapter 7. Study design and sampling


Chapter 8. Measures of frequency and risk


Chapter 9. Threats to validity


Chapter 10. The analytic dataset


Chapter 11. Epidemiological analysis I


Chapter 12. Epidemiological analysis II


Part III: Interpretation to implementation


Chapter 13. Interpreting the results


Chapter 14. Publication and presentation


Chapter 15. Improving population health
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About Neal D. Goldstein

Neal D. Goldstein, is an infectious disease epidemiologist at Christiana Care Health System, Newark, Delaware, and holds a faculty appointment in the Dornsife School of Public Health at Drexel University, Philadelphia, Pennsylvania. He has an extensive experience in epidemiological analyses from secondary data sources, particularly electronic health records. His research spans several disciplines including vaccine-preventable diseases, sexual minority health, pediatric infectious diseases, and women's health surrounding pregnancy. He also possesses a background in biomedical informatics with a detailed knowledge of hardware and software in the health-care domain. Most recently, he has focused on translational epidemiology, or moving from knowledge generation to application and advocacy. He writes a science blog, which is available at www.goldsteinepi.com/blog.
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