Health Care Analytics: Tools and Practices


This module introduces students to the general concepts of data analytics and practices in terms of how data sources and data sets are captured, transformed and modelled and how analytics is applied within health care settings.  Using business intelligence and analytics tools the module investigates  descriptive, predictive and prescriptive analytics concepts as they apply to health care data.

Learning Outcomes

  1. Differentiate between unstructured, semi-structured and structured data

  2. Critically evaluate a range of key healthcare data sources in terms of content, quality, data mining and data warehousing implications

  3. Import a variety of data sources into Business Intelligence software and apply data transformation techniques to meet user requirements

  4. Analyse the principles of star schema and snowflake relational data modelling

  5. Construct and analyse Data Models, Measures, Key Performance Indicators, Visualisations and Dashboards to Guide Healthcare Improvement Activities

  6. Critically appraise predictive and prescriptive analytical techniques used in data driven decision-making and apply them within Excel

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