MHA5017 builds the data analysis fluency that modern healthcare administrators can't function without — understanding how data drives decisions in value-based reimbursement, operations, and outcomes, and applying statistical concepts and analysis tools to advance quality and safety goals.
Data-driven decision making in healthcare
Core topics
- Data in value-based reimbursement: Understanding how data informs payment models tied to quality and outcomes
- Operations and outcomes data: Using data to improve operational efficiency and patient outcomes
- Data analysis tools and techniques: Applying analytical tools to advance value, quality, and safety objectives
- Foundational statistical concepts: Understanding statistics and their real-world applications in healthcare settings
MHA5017 assignments include data analysis projects and evidence-based decision-making reports
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Data analysis projects and decision-making reports.
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Frequently asked questions
Healthcare data has unique characteristics — it's generated in clinical workflows, tied to regulatory reporting requirements, and increasingly connected to how organizations get paid under value-based reimbursement models. A general statistics course would cover the mathematical tools but miss the healthcare-specific context that makes those tools useful to an administrator: knowing which metrics matter for quality reporting, how to interpret outcomes data in an operational setting, and how data analysis connects to the safety and financial objectives that healthcare leaders are actually accountable for.