HITM2240

This course provides a hands-on introduction to health data analysis. Students will explore a variety of software applications to import, extract, transform, visualize, and analyze data. Throughout the course, students will explore real-world datasets, which will allow them to apply these skills to various aspects of healthcare key performance indicators, from patient outcomes to productivity. Emphasis will be placed on data-driven decision-making, equipping students with the foundational knowledge to support evidence-based practices in the healthcare industry. Student Learning Outcomes

• Conduct data queries to identify physician and practitioner compliance with regulatory, credentialing and licensure requirements.
• Utilize spreadsheets and software to access, interpret, calculate, summarize, and visualize data.
• Illustrate how metadata and standards are used to promote interoperability.
• Utilize data collection templates to identify purposes for collecting data and the required data elements, including data dictionaries and entity-relationship diagrams.
• Construct database queries using platform scripts to generate structured query reports using health data sets.
• Conduct audits to identify compliance and performance issues and risks.
• Summarize data using data visualization tools and techniques.
• Utilize digital technology and software packages to attain and communicate information, including graphical representations, to ensure appropriate understanding.