Health Data 201: 1 Day Core Foundations Training, Montreal

Schedule

Mon, 09 Mar, 2026 at 09:00 am to Tue, 11 Aug, 2026 at 10:00 pm

UTC-04:00

Location

Regus - Montreal, QC | Montreal, QC

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Master essential health data concepts, coding standards, workflows, and quality basics in a clear, beginner friendly 1 Day foundation course
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

Health Data 201 introduces you to the structure, flow, and standards of healthcare data in a simple and easy-to-understand way. This 1 Day foundation program covers key data types, coding systems, interoperability basics, and essential quality requirements. You learn how health data moves across systems, why standardization matters, and how to interpret core healthcare information used in clinical and operational workflows. The course is designed to make complex terminology simple and equip you with the confidence to understand healthcare data accurately.

Learning Objectives

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

  • Understand different types of healthcare data and their purpose.
  • Interpret basic healthcare codes such as ICD-10, CPT, and DRG.
  • Follow the flow of data across healthcare systems.
  • Understand HL7 and FHIR at a simple, conceptual level.
  • Identify common data quality issues and how to address them.
  • Understand essential healthcare KPIs and what they represent.
  • Build confidence in navigating healthcare data environments.

Target Audience

This course is ideal for:

  • Beginners entering healthcare data roles
  • Healthcare administration & operations staff
  • Junior analysts & data coordinators
  • Professionals transitioning into healthcare IT
  • Students pursuing careers in health analytics
  • Anyone seeking a strong foundation in healthcare data

Why Choose This Course?

This program simplifies complex health data concepts into clear, structured learning that builds your confidence from the ground up. The course is delivered by an experienced healthcare data trainer who understands how to make technical content easy, practical, and meaningful. With beginner-friendly explanations and intermediate-level insights, you gain clarity, accuracy, and real understanding in just one day.

©2025 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


Want to train your entire team?
We offer customized in-house versions of this course tailored to your organization’s workflows, data systems, and reporting needs. Your team can learn using your own examples, real scenarios, and customized modules that fit your environment. In-house sessions help strengthen accuracy, collaboration, and alignment across departments.

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


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Agenda
Module 1: Introduction to Healthcare Data

Info: • Types of healthcare data: clinical, claims, administrative
• Understanding patient identifiers and encounters
• Key terminology made simple
• Icebreaker


Module 2: Coding & Classification Systems

Info: • Basics of ICD-10, CPT & DRG
• Why coding matters in healthcare workflows
• How coded data influences reporting
• Case Study


Module 3: Data Flow Across Healthcare Systems

Info: • Registration-to-discharge data journey
• EHR, HIS, LIS workflows
• Information exchange points
• Brainstorm Activity


Module 4: Interoperability & Standards

Info: • HL7 v2 basics
• FHIR resources overview
• Common interoperability challenges
• Simulation


Module 5: Data Quality Essentials

Info: • Identifying common data errors
• Validation rules & consistency checks
• Basics of PHI safety
• Activity


Module 6: Healthcare KPIs & Reporting

Info: • LOS, readmission rates, denial basics
• Simple KPI interpretation
• Data insights for decision-making
• Role Play


Module 7: Troubleshooting & Practical Understanding

Info: • Common issues in health data workflows
• Checklist for data accuracy
• Linking concepts from foundation to intermediate
• Case Study


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Where is it happening?

Regus - Montreal, QC, 1200 Avenue McGill College, Montreal, Canada

Event Location & Nearby Stays:

Tickets

CAD 594.47 to CAD 774.33

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