About this Event
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
Course Overview
This 1 Day program gives you a practical understanding of SQL tailored specifically for healthcare datasets. You learn how to query patient records, claims tables, clinical data, and operational metrics using intermediate SQL logic. The course covers joins, aggregations, subqueries, early window functions, KPI calculations, and data validation techniques. Each concept is explained in a healthcare context, enabling you to analyze LOS, readmissions, claims denials, utilization trends, and operational workflows. The training is structured to move from foundational SQL logic to intermediate healthcare query building, ensuring clarity, speed, and analytical accuracy.
Learning Objectives
By the end of this course, you will be able to:
- Write clean SQL queries specifically for healthcare datasets.
- Join multiple clinical and claims tables effectively.
- Calculate healthcare KPIs using aggregations.
- Apply subqueries for deeper clinical and operational insights.
- Use early window functions for patient-level analysis.
- Validate healthcare datasets with quality checks.
- Build a simple, end-to-end SQL analysis workflow.
Target Audience
- Healthcare analysts & BI teams
- Hospital operations and reporting staff
- Claims processing & payer teams
- Healthcare IT professionals
- Students learning healthcare analytics
- Junior data analysts and career switchers
- Anyone needing SQL skills for healthcare reporting
Why Choose This Course?
This course bridges SQL proficiency with real healthcare reporting needs. The trainer brings industry experience in clinical, operational, and claims analytics, ensuring every concept is taught with clarity and purpose. You learn practical SQL logic, structured workflows, and intermediate techniques that make healthcare reporting faster, cleaner, and more accurate, all in one day. The course is designed to turn complex datasets into understandable insights.
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Want to train your entire team in healthcare SQL?
We offer tailored in-house sessions that use your organization’s data structures, KPIs, and reporting workflows. The course can be fully adapted to your hospital, payer system, or analytics environment. In-house delivery strengthens team alignment, improves accuracy, and builds consistent SQL practices across departments.
📧 Contact us today to schedule a customized in-house, face-to-face session:
Agenda
Module 1: SQL Essentials for Healthcare Data
Info: • Writing structured queries for healthcare datasets
• Filtering patient and claims records with conditions
• Understanding data types & healthcare table relationships
• Icebreaker
Module 2: Multi-Table Querying in Healthcare
Info: • Joining clinical, claims, and demographic tables
• Combining encounter-level and patient-level data
• Identifying mismatched or incomplete records
• Case Study
Module 3: Aggregations & KPI Calculations
Info: • Calculating LOS, readmission counts, denial metrics
• Using GROUP BY logic for clinical/claims rollups
• Identifying trends through aggregated data
• Activity
Module 4: Subqueries & Logical Filtering
Info: • Creating dependent queries for deeper insights
• Using nested filters for population segmentation
• Applying subqueries for conditional healthcare KPIs
• Brainstorm Activity
Module 5: Intro to Window Functions
Info: • Using ROW_NUMBER and RANK for healthcare sequences
• Identifying latest claims or encounters per patient
• Comparing patient values over time
• Simulation
Module 6: Data Validation & Quality Checks
Info: • Identifying duplicates, missing values, and outliers
• Ensuring consistency across clinical and claims fields
• Simple rules to validate healthcare reporting data
• Role Play
Module 7: Applied Healthcare SQL Workflow
Info: • Designing a structured SQL approach for analysis
• Reviewing, testing, and refining SQL outputs
• Connecting queries to operational decisions
• Action Plan Review
Event Venue & Nearby Stays
Regus ON, Ottawa - Albert & Metcalfe, 116 Albert Street Suite 200 & 300, Ottawa, Canada
CAD 522.93 to CAD 683.36
