1: The Rise of Electronic Health Records. 2: Concepts in Electronic Health Record Research. Section I: EHR Data for Research. 3: Planning for Electronic Health Record Research. 4: Accessing Electronic Health Record Data. 5: Data Management. 6: Perils of Electronic Health Record Data. Section II: Epidemiology and Data Analysis. 7: Study Design and Sampling Strategies. 8: Epidemiologic Measures. 9: Bias and Validity in Observational Research. 10: Epidemiologic Analysis I. 11: Epidemiologic Analysis II. 12: Advanced and Emerging Methods and Applications. Section III: Interpretation to Application. 13: Publication and Presentation. 14: Applications of Electronic Health Record Research. 15: Case Studies in Electronic Health Record Research. Appendix 1: Secondary Data Research Planner. Appendix 2: Example Code using R.
In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook provides both practical and theoretical guidance to researchers conducting epidemiological or clinical analysis through EHRs.
Neal D. Goldstein, PhD, MBI, is an Associate Professor of Epidemiology at the Drexel University Dornsife School of Public Health. He can be reached through his website: www.goldsteinepi.com.
In an age when electronic health records (EHRs) are an increasingly important source of data, this essential textbook provides both practical and theoretical guidance to researchers conducting epidemiological or clinical analysis through EHRs.
Split into three parts, the book covers the research journey from start to finish. Part 1 focuses on the challenges inherent when working wilC)
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