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E-grāmata: Researcher's Guide to Using Electronic Health Records: From Planning to Presentation

  • Formāts: 414 pages
  • Izdošanas datums: 25-Jul-2023
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000908862
  • Formāts - PDF+DRM
  • Cena: 50,08 €*
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  • Formāts: 414 pages
  • Izdošanas datums: 25-Jul-2023
  • Izdevniecība: CRC Press
  • Valoda: eng
  • ISBN-13: 9781000908862

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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.



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.

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.
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.