Data Analysis Workshop

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Price
$180.00
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Key Concepts Covered Include:

Section 1: Introduction to Healthcare Data

  • Data Introduction
  • Data Versus Information
  • Administrative Information System (AIS)
  • Clinical Information System
  • Decision Making System
  • Aggregate Data

Section 2: Data Foundations

  • Data Definitions
  • Data Inventory
  • Data Sources
  • Data Collection Methods
  • Population & Sampling in Healthcare
    • Probability Sampling
    • Non-Probability Sampling
    • Sampling Size
  • Data Collection Tools
  • Data Collection Process

Section 3: Privacy and Security in Healthcare Data

  • Protected Health Information (PHI)
  • Health Information Exchange (HIE)
  • Confidentiality, Privacy, and Security
  • Health Level Seven (HL7)
  • Patient Consent
  • Meaningful Use (MU)

Section 4: Healthcare Data Standards and Coding

  • The International Classification of Diseases (ICD)
  • Indexes and Registers
  • Health Information Management (HIM)
  • Health Information Management (HIM) Professionals
  • Health Information Management in Quality Measurement and Improvement

Section 5: Managing Health Information Systems

  • The Life Cycle of a Patient Medical Record
  • Information Governance
  • Computerization and Software Selection and Implementation
  • System Features to Consider in Selecting Health Information Software
  • Evaluate Potential Vendors for Selecting Health Information Software

Section 6: Data Measurement and Analysis

  • Basic Types of Data
  • Basic Statistics
  • Descriptive Statistics
    • Central Tendency (Mean, Median, Mode, Weighted Mean)
    • Dispersion of Data (Range, Frequency, Standard Deviation)
  • Ratio
  • The Standard Bell Curve
  • Parametric & Nonparametric Statistical Tests
    • Chi-Square (X²) & t-Test – Tests of Statistical Significance
    • Type I and Type II Errors
    • Regression Analysis
    • P-Score
    • Correlation Coefficient
    • Scatter Diagram
    • Confidence Interval
    • Interpercentile (Interquartile Range – IQR) Measure
    • Statistical Process Control (SPC)
    • Common Cause and Random Variation
    • Statistical Thinking
    • Display and Statistical Tools
    • Root Cause Analysis (RCA)
    • Analysis and Interpretation
    • Action Plan
    • Management of Documentation of Meetings and Reports
    • Meeting Minutes
    • Meeting Agendas
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