In an age when electronic health records (EHRs) are an increasingly important source of population data, this is the essential textbook for any researcher using EHRs to conduct research and analysis.
Split into three parts, the book covers the whole research journey, beginning with the planning a research project, accessing and organizing EHR data, and the issues to be mindful of. The second part looks at the core research process, including sampling and analysis, measures of validity and statistical Inference. The final part introduces the presentation of a piece of research, its publication, and also includes a range of case studies.
Supported by examples and insights throughout, and applicable across a range of research software programs (R, SPSS and SAS), this is the ideal text for students and researchers engaging with EHR across epidemiological and clinical research.
About the Author: Neal D. Goldstein, PhD, MBI is an Associate Professor of Epidemiology at the Drexel University Dornsife School of Public Health. With a background in biomedical informatics, he focuses on computational approaches in complex data settings, especially electronic health records and disease surveillance, to understand infectious disease transmission. This has been demonstrated through his work with bloodborne pathogens, COVID-19, vaccine preventable diseases, and healthcare associated infections. Dr. Goldstein is well published, his work has been profiled in national and local media outlets, and he has been featured in countless interviews. More information can be found on the book website, https: //www.goldsteinepi.com/books/ehr/, including errata, data, source codes, and more.
