Healthcare IT Data Visualization with Tableau: 1 Day Course, Montreal

Group Discounts:

• Save 10% when registering 3 or more participants
• Save 15% when registering 10 or more participants

Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included

This intensive 1 Day program helps you understand healthcare data and transform it into meaningful visuals using Tableau. You explore healthcare KPI structures, essential data preparation, intermediate visualization techniques, calculated fields, LOD expressions, dashboard design, and storytelling. Each concept is simplified for beginners yet detailed enough for intermediate learners, ensuring you gain clarity, technical confidence, and the ability to present healthcare insights with impact.

Learning Objectives

By the end of this course, you will be able to:

• Understand healthcare KPIs and choose the right metrics for dashboards.
• Prepare and model healthcare datasets for visualization.
• Build intermediate-level healthcare visuals in Tableau.
• Use calculated fields and simple LOD expressions.
• Design interactive, functional dashboards for healthcare reporting.
• Interpret insights from clinical, claims, and operational data.
• Present visual stories that support healthcare decisions.

Target Audience

• Healthcare data analysts
• BI & reporting teams
• Healthcare IT professionals
• Clinical informatics teams
• Students learning healthcare analytics
• Early-career data professionals
• Anyone shifting into visualization roles in healthcare

Why Choose This Course?

This course blends healthcare domain knowledge with Tableau visualization expertise, making complex data simple and actionable. The trainer brings real-world reporting experience and explains every concept in clear, practical language. With a structured foundation-to-intermediate flow, you gain the confidence to design dashboards that improve clinical and operational decision-making.

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Planning to upskill your entire reporting or analytics department?
We offer fully customizable in-house sessions tailored to your organization’s healthcare datasets, reporting requirements, and KPI structures. The course can incorporate your real metrics, data formats, and dashboard styles. This ensures your team builds consistent, accurate, and high-quality visualization skills across departments.

📧 Contact us today to schedule a customized in-house, face-to-face session:

Info: • Role of visualization in healthcare decision-making
• Identifying key clinical and claims metrics
• Choosing effective visual formats for each KPI
• Icebreaker

Info: • Structuring datasets for clean analysis
• Data blending and relationship-building
• Handling inconsistencies in patient and claim fields
• Case Study

Info: • Designing KPI charts: LOS, readmissions, claim trends
• Using dual-axis, heatmaps, and comparison visuals
• Highlighting outliers and critical patterns
• Activity

Info: • Building derived metrics for healthcare insights
• Applying LOD expressions for patient or claim-level detail
• Creating logic-driven fields for deeper segmentation
• Brainstorm Activity

Info: • Structuring dashboards for clarity and usability
• Filters, parameters & guided user interactions
• Building cross-functional dashboards for reporting
• Simulation

Info: • Turning dashboards into clear narratives
• Highlighting trends with clinical & operational context
• Presenting findings to different audiences
• Role Play

Info: • Reviewing dashboard accuracy & consistency
• Optimizing layout performance
• Summarizing insights effectively
• Action Plan Review

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Host or Publisher Catils_inc