Health-Data- Analysis Training - Medswift
Occupational safety and health (OSH)
Training of Trainers Course (T.O.T)

Health-Data- Analysis Training

Basic Data analysis and Interpretation Training, provides you with the knowledge and skill of analyzing & Interpreting Data for decision making, analyzing performance & Continuous Improvement of processes at your workplace.

Course Goals & Objectives

  1. Discuss the role of data analytics in quality and performance improvement efforts in your organization.
  2.    The objectives are to equip the participants with a sound grounding of Using Microsoft Excel for day to day analysis of data.

  1. Describe the basic tools & techniques used for data analysis in your organization
  2. Identify techniques to communicate insights gained from data analysis

Course Content:

Introduction to Quality Improvement and Data Analytics

  1. Discuss the drivers for health care transformation
  2. Identify quality initiatives that have shaped the national health care landscape
  3. Define health care quality and value
  4. Describe the background and evolution of quality and performance improvement
  5. Discuss the quality improvement frameworks that utilize analytics
  6. Define health care data analytics
  7. Discuss how analytics can help transform health care

Health Care Data as an Organizational Asset

  1. Describe the data information, knowledge and wisdom hierarchy
  2. Explain how data can be an organizational asset
  3. List sources of health care data
  4. Describe the challenges faced when using data for quality and performance improvement
  5. Describe an organizational approach for effective use of data analytics
  6. Describe the role of data governance

Working with Data

  1. Describe the information value chain
  2. Discuss the importance of data context and relevance to business processes
  3. Define common data types
  4. Define basic statistical terms
  5. Recognize common patterns or distributions in statistics
  6. Describe distributions using numerical measures such as mean, median and standard deviation
  7. Identify common graphical representations of data including histograms, bar charts and

scatter plots

Introduction to Health Care Data Analytics

  1. Define data analytics terms
  2. Describe the process steps of data analytics and the tools used in each step
  3. Describe the role of the data analyst
  4. Identify tools and techniques used to analyse and interpret healthcare data effectively
  5. Describe the various types of databases and how they are structured
  6. Describe key data warehouse concepts
  7. Describe enterprise data architecture as seen in health care organizations

Using the Data to Tell the Story

  1. Describe ways to effectively display data for improved comprehension
  2. Select appropriate options for displaying information
  3. Identify background information that should be included in reports
  4. Determine what information stakeholders want and need to know
  5. Determine the best ways to communicate information with specific audiences
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