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  • Overview - EMS Data Systems
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• Collecting Data
  • Overview - Collecting Data
  • Step 1: Define Your Needs
    • Assess What You Have to Do
    • Explore Your Options
  • Step 2: Clearly Define the Project
    • Define Your Project Goal
    • Assess Available Resources
    • Get Feedback from Others
  • Step 3: Identify the Data Sources
    • Use Current Research as a Guide
    • National Data Resources
    • State and Local Data Resources
    • Collecting New Data
  • Step 4: Plan How to Store the Data
    • Define the Variables Needed
    • Data Storage Methods
    • Hardware Considerations
    • Quality Control
  • Step 5: Choosing a Project Design
    • Descriptive Study
    • Retrospective Study
    • Prospective Study
  • Step 6: Eliminating Bias & Confounding
    • Bias
    • Confounding
    • Overcoming Common Sources of Bias & Confounding
  • Step 7: Participant Selection
    • Probability Sampling
      • Simple Random Sampling
      • Stratified sampling
    • Random Selection
    • Control Group
    • Calculating Sample Size
  • Step 8: How to Collect the Data
    • Assess Available Methods
      • Surveys or Questionnaires
      • Existing Databases
      • Record Review
      • Prospective Data Collection
    • Plan Data Collection and Follow-Up Procedures
    • Ethical Issues, Confidentiality, & Other Considerations
  • Step 9: Consult and Test
    • Consult with Colleagues, Experts, and Outsiders
    • Test Your Data Collection Tool
  • Step 10: Start Collecting
  • Collecting Data for Performance Measures
• Analyzing Data
  • Overview - Analyzing Data
  • Step 1: Assess Your Data
    • Obtaining Your Data
    • Protecting an Original Version of Your Data
    • Assessing Your Statistical Resources
  • Step 2: Validate the Data
    • Validation of Continuous Variables
    • Validation of Categorical Variables
  • Step 3: Clean the data
    • The Purpose of Data Cleaning
    • Identifying Your Needs
    • Determine the Current and Desired Quality Levels
    • Discover the Scope of the Problem
    • Clean the Data Using a Predefined Specification
    • Identify Methods to Minimize More Data
    • Deliver the data
  • Step 4: Plan your Analysis
  • Step 5: Do Your Analysis
    • Counts
    • Sums
    • Measures of Center
      • Mean
      • Median
      • Mode
    • Min and Max
    • Standard Deviation
    • Charts
    • Final Thoughts
  • Step 6: Creating the Initial Report
  • Statistical Terms Dictionary
  • Advanced Statistical Topics
    • Confidence Intervals
    • Hypothesis Testing
    • Confidence v. Hypothesis Testing
    • Probabilistic Linkage
    • What Statistics Are Right for My Project - Advanced
  • Analyzing Data for Performance Measures
• Utilizing Data
  • Overview - Utilizing Data
  • Utilizing Data for Communication
    • Step 1: Define Your Goal for Communicating
    • Step 2: Determine Your Target Audience
      • Brainstorming
      • Prioritizing
      • Defining the Target Audience
    • Step 3: Choose the Communication Method(s)
      • Understand Your Audience
      • Communication Mediums
      • Choose the Right Method(s)
    • Step 4: Adopt Good Communication Principles
      • Write for Your Audience
      • Make It Visually Appealing
      • Make It Readable
      • Make It Credible
    • Step 5: Communicate Numbers Effectively
      • Communicating Statistics
      • Communicating with Charts and Graphs
    • Step 6: Provide a Take-Home Message
  • Utilizing Data for Research
  • Utilizing Data for Quality Improvement
  • Utilizing Data for Performance Measures
• Writing Grants
  • Overview - Writing Grants
  • Writing Grants for Performance Measures
  • What Is a Grant?
    • Types of EMSC Grants
    • Common Grant Terminology
  • Current Grant Opportunities
  • 10 Critical Tips for Writing a Grant
  • Writing the Grant
  • Resources
• Resource Library
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