SQL Skills for Healthcare: Course in Adelaide

Bring your team and save:

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs/Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

This 1-Day course provides practical SQL training for professionals working with healthcare information. Participants learn how to query patient records, claims tables, clinical data, and operational metrics using intermediate SQL logic.

You will explore joins, aggregations, subqueries, basic window functions, KPI calculations, and data validation practices. Healthcare-focused examples help demonstrate how SQL can be used to analyze readmissions, LOS, utilization trends, claims denials, and operational workflows.

The program is designed to develop your skills progressively, helping you move from essential SQL concepts to more advanced healthcare analysis techniques.

By completing this course, you will be able to:

• Write clear SQL queries for healthcare analysis.
• Combine multiple clinical and claims datasets.
• Calculate and interpret healthcare KPIs.
• Use subqueries for deeper insights.
• Apply basic window functions to patient data.
• Perform healthcare data quality checks.
• Build a complete SQL reporting workflow.

• Healthcare Analysts and Reporting Teams
• Hospital Operations Professionals
• Claims and Payer Teams
• Healthcare IT Staff
• Students and Researchers
• Junior Data Analysts
• Career Switchers entering Healthcare Analytics

This course combines SQL learning with the practical needs of healthcare reporting. The focus is on useful workflows and techniques that help professionals work with complex healthcare datasets more efficiently and accurately.

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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:

[email protected]

Info: • Writing structured queries for healthcare datasets
• Filtering patient and claims records with conditions
• Understanding data types & healthcare table relationships
• Icebreaker

Info: • Joining clinical, claims, and demographic tables
• Combining encounter-level and patient-level data
• Identifying mismatched or incomplete records
• Case Study

Info: • Calculating LOS, readmission counts, denial metrics
• Using GROUP BY logic for clinical/claims rollups
• Identifying trends through aggregated data
• Activity

Info: • Creating dependent queries for deeper insights
• Using nested filters for population segmentation
• Applying subqueries for conditional healthcare KPIs
• Brainstorm Activity

Info: • Using ROW_NUMBER and RANK for healthcare sequences
• Identifying latest claims or encounters per patient
• Comparing patient values over time
• Simulation

Info: • Identifying duplicates, missing values, and outliers
• Ensuring consistency across clinical and claims fields
• Simple rules to validate healthcare reporting data
• Role Play

Info: • Designing a structured SQL approach for analysis
• Reviewing, testing, and refining SQL outputs
• Connecting queries to operational decisions
• Action Plan Review

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Regus-Adelaide, Spaces Wayville, 2-3 Greenhill Road, Wayville, Adelaide, Australia

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