2nd Edition
A Researcher's Guide to Using Electronic Health Records From Planning to Presentation
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 with EHRs, from access to data management, and raising issues such as completeness and accuracy which impact the validity of any research project. Part 2 examines the core research process itself, with chapters on research design, sampling, and analysis, as well as emerging methodological techniques. Part 3 demonstrates how EHR research can be made meaningful, from presentation to publication, and includes how findings can be applied to real-world issues of public health.
Supported by case studies throughout, and applicable across a range of research software programs (including R, SPSS, and SAS), this is the ideal text for students and researchers engaging with EHRs across epidemiological and clinical research.
Introduction
Chapter 1: The Rise of Electronic Health Records
Chapter 2: Concepts in Electronic Health Record Research
Section I: EHR Data for Research
Chapter 3: Planning for Electronic Health Record Research
Chapter 4: Accessing Electronic Health Record Data
Chapter 5: Data Management
Chapter 6: Perils of Electronic Health Record Data
Section II: Epidemiology and Data Analysis
Chapter 7: Study Design and Sampling Strategies
Chapter 8: Epidemiologic Measures
Chapter 9: Bias and Validity in Observational Research
Chapter 10: Epidemiologic Analysis I
Chapter 11: Epidemiologic Analysis II
Chapter 12: Advanced and Emerging Methods and Applications
Section III: Interpretation to Application
Chapter 13: Publication and Presentation
Chapter 14: Applications of Electronic Health Record Research
Chapter 15: Case Studies in Electronic Health Record Research
Appendices
Appendix 1: Secondary Data Research Planner
Appendix 2: Example Code using R
Biography
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.
