Learn to prepare, analyze, and visualize healthcare data, and to apply AI and predictive analytics to real operational challenges in healthcare. Participants work with de-identified healthcare datasets to build data models, dashboards, and forecasting models for patient flow, staffing, capacity, and resource use, following HIPAA data-handling requirements.
What You’ll Learn
- Import, clean, and transform healthcare datasets (EHR extracts, scheduling, claims, and workforce data) using Power Query and Power BI
- Build data models and calculated measures for operational, clinical, and workforce KPIs
- Develop interactive dashboards that track patient volume, length of stay, capacity, and staffing
- Build predictive and forecasting models for census, staffing demand, and supply utilization
- Apply AI and machine learning tools to detect patterns, anomalies, and risk indicators
- Apply HIPAA-compliant data handling: de-identification, access control, and data quality validation
- Automate recurring healthcare reports and data refreshes
- Complete a capstone that turns a healthcare dataset into a working dashboard and forecast
Who It’s For
Healthcare analysts, operations and revenue cycle staff, informatics professionals, and other healthcare employees who work with data. Familiarity with Excel is recommended.
Course Details
Format: Live, virtual instructor-led training with hands-on labs
Level: Intermediate
Certificate: Participants who successfully complete the course receive a Walsh University certificate of completion: "Applied Data Analytics and AI in Healthcare."