Book 2016
Open Access This content is freely available online to anyone, anywhere at any time.

Secondary Analysis of Electronic Health Records

Authors:

ISBN: 978-3-319-43740-8 (Print) 978-3-319-43742-2 (Online)

Table of contents (30 chapters)

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  1. Front Matter

    Pages i-xxi

  2. Setting the Stage: Rationale Behind and Challenges to Health Data Analysis

    1. Front Matter

      Pages 1-2

    2. Chapter

      Pages 3-7

      Objectives of the Secondary Analysis of Electronic Health Record Data

    3. Chapter

      Pages 9-16

      Review of Clinical Databases

    4. Chapter

      Pages 17-26

      Challenges and Opportunities in Secondary Analyses of Electronic Health Record Data

    5. Chapter

      Pages 27-42

      Pulling It All Together: Envisioning a Data-Driven, Ideal Care System

    6. Chapter

      Pages 43-49

      The Story of MIMIC

    7. Chapter

      Pages 51-60

      Integrating Non-clinical Data with EHRs

    8. Chapter

      Pages 61-70

      Using EHR to Conduct Outcome and Health Services Research

    9. Chapter

      Pages 71-78

      Residual Confounding Lurking in Big Data: A Source of Error

  3. A Cookbook: From Research Question Formulation to Validation of Findings

    1. Front Matter

      Pages 79-80

    2. Chapter

      Pages 81-92

      Formulating the Research Question

    3. Chapter

      Pages 93-100

      Defining the Patient Cohort

    4. Chapter

      Pages 101-114

      Data Preparation

    5. Chapter

      Pages 115-141

      Data Pre-processing

    6. Chapter

      Pages 143-162

      Missing Data

    7. Chapter

      Pages 163-183

      Noise Versus Outliers

    8. Chapter

      Pages 185-203

      Exploratory Data Analysis

    9. Chapter

      Pages 205-261

      Data Analysis

    10. Chapter

      Pages 263-271

      Sensitivity Analysis and Model Validation

  4. Case Studies Using MIMIC

    1. Front Matter

      Pages 273-274

    2. Chapter

      Pages 275-283

      Trend Analysis: Evolution of Tidal Volume Over Time for Patients Receiving Invasive Mechanical Ventilation

    3. Chapter

      Pages 285-294

      Instrumental Variable Analysis of Electronic Health Records

    4. Chapter

      Pages 295-313

      Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project

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