Improving Population Health Using Electronic Health Records
CRC Press (Verlag)
978-1-138-19637-7 (ISBN)
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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.
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.
1. Research in the era of electronic health records
2. How to use this book for research
Part 1: Understanding the data
3. Planning the research
4. Accessing health data
5. Organizing, merging, and linking data
6. Data management and the research dataset
Part 2: Conducting the research
7. Study design and sampling
8. Measures of frequency and risk
9. Threats to validity
10. The analytic dataset
11. Epidemiological analysis I
12. Epidemiological analysis II
Part 3: Interpretation to implementation
13. Interpreting the results
14. Publication and presentation
15. Improving population health
Appendices
Erscheinungsdatum | 14.05.2017 |
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Zusatzinfo | 14 Tables, black and white; 92 Line drawings, black and white; 4 Halftones, black and white |
Verlagsort | London |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 385 g |
Themenwelt | Sachbuch/Ratgeber ► Gesundheit / Leben / Psychologie |
Mathematik / Informatik ► Informatik ► Datenbanken | |
Mathematik / Informatik ► Mathematik | |
Medizin / Pharmazie ► Gesundheitswesen | |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung | |
ISBN-10 | 1-138-19637-1 / 1138196371 |
ISBN-13 | 978-1-138-19637-7 / 9781138196377 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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