Health Care Analytics: Tools and Practices
Description
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
Differentiate between unstructured, semi-structured and structured data
Critically evaluate a range of key healthcare data sources in terms of content, quality, data mining and data warehousing implications
Import a variety of data sources into Business Intelligence software and apply data transformation techniques to meet user requirements
Analyse the principles of star schema and snowflake relational data modelling
Construct and analyse Data Models, Measures, Key Performance Indicators, Visualisations and Dashboards to Guide Healthcare Improvement Activities
Critically appraise predictive and prescriptive analytical techniques used in data driven decision-making and apply them within Excel