Master SQL for Healthcare Reporting: 1 Day Workshop in Philadelphia, PA

Wed May 27 2026 at 09:00 am to 05:00 pm UTC-04:00

Regus PA, Philadelphia - 123 S Broad Street | Philadelphia

MG Aussie
Publisher/HostMG Aussie
Master SQL for Healthcare Reporting: 1 Day Workshop in Philadelphia, PA
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Turn healthcare data into insights using SQL. Analyze claims, detect patterns, and build KPIs in a 1-day workshop.
About this Event


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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


Course Overview:

This 1-day hands-on workshop introduces SQL concepts tailored specifically for healthcare data environments. You will learn how to query, analyze, and interpret patient records, claims data, and operational datasets with a strong focus on real-world healthcare use cases.

The training progresses from foundational SQL concepts to intermediate-level techniques including joins, aggregations, subqueries, and basic window functions. Each concept is taught using healthcare scenarios such as readmissions, length of stay (LOS), claims denials, utilization trends, and operational reporting.

By the end of the session, you will be able to transform raw healthcare data into meaningful insights that support clinical, operational, and financial decision-making.


Learning Objectives:

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

  • Write SQL queries for healthcare datasets confidently
  • Join multiple healthcare data sources effectively
  • Calculate key healthcare KPIs using SQL
  • Apply subqueries for deeper analytical insights
  • Use basic window functions for patient-level analysis
  • Perform data validation and quality checks
  • Build structured SQL workflows for reporting

Who can Attend?
  • Healthcare analysts and BI professionals
  • Hospital operations and reporting teams
  • Claims and payer processing teams
  • Healthcare IT professionals
  • Junior data analysts and students
  • Career switchers into healthcare analytics
  • Anyone interested in SQL for healthcare reporting

Why Choose this Course?

This course is designed to bridge SQL fundamentals with real healthcare analytics needs. Every concept is taught using practical, healthcare-specific datasets such as clinical records and claims data.

With a strong focus on application rather than theory, you will gain the ability to generate meaningful reports, calculate KPIs, and support decision-making in healthcare environments.

The training ensures clarity, speed, and practical confidence—making it ideal for professionals looking to strengthen their healthcare data skills in a short time.

©2026 MG Aussie Events. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


Looking to train your entire team?

Customized in-house training is also available for organizations to align SQL learning with internal data systems and reporting structures.

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


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Agenda
Module 1: SQL Essentials for Healthcare Data

Info: • Writing structured healthcare queries
• Filtering patient and claims data
• Understanding healthcare table structures
• Icebreaker activity


Module 2: Multi-Table Querying in Healthcare

Info: • Joining clinical, claims, and demographic data
• Linking encounter-level and patient-level records
• Identifying missing or inconsistent data
• Case study


Module 3: Aggregations & KPI Calculations

Info: • Calculating LOS, readmissions, and denial rates
• Grouping data for healthcare reporting
• Identifying trends using aggregated data
• Practical activity


Module 4: Subqueries & Logical Filtering

Info: • Building nested queries for deeper insights
• Patient segmentation using filters
• KPI-based conditional logic
• Brainstorming exercise


Module 5: Introduction to Window Functions

Info: • ROW_NUMBER and RANK concepts
• Identifying latest patient encounters or claims
• Time-based comparisons
• Simulation exercise


Module 6: Data Validation & Quality Checks

Info: • Detecting duplicates and missing values
• Ensuring data consistency across datasets
• Basic healthcare data quality rules
• Role-play activity


Module 7: Applied Healthcare SQL Workflow

Info: • End-to-end SQL workflow design
• Testing and refining queries
• Translating outputs into business decisions
• Action planning


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Event Venue & Nearby Stays

Regus PA, Philadelphia - 123 S Broad Street, 123 S Broad Street 15th Floor, Philadelphia, United States

Tickets

USD 560.73 to USD 664.43

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