Improving Population Health Using Electronic Health Records

Methods for Data Management and Epidemiological Analysis
1. Auflage 2017
ISBN: 978-1-4987-5910-6
Verlag: Taylor & Francis Inc

Buch, Englisch, 274 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 544 g

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.

Zielgruppe

Academic and Professional Practice & Development

Autoren/Hrsg.

Goldstein, Neal D.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Gesundheitssystem, Gesundheitswesen
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

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

Über Autor(innen)

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.