Health Data 201: 1-Day Core Foundations Training Course in Ottawa

Schedule

Thu, 30 Jul, 2026 at 09:00 am to Thu, 10 Dec, 2026 at 05:00 pm

UTC-04:00
Location

Regus ON, Ottawa - Albert & Metcalfe | Ottawa, ON

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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

Overview

Master practical organizational skills to boost productivity, manage time effectively, and reduce daily stress.


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.

About the Course:

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 provided during the session

If you would like weekend training sessions, kindly reach out to us at for availability and scheduling.

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 workshop, you will be able to:

▪ Understand the fundamentals of AI and its role in boosting efficiency.

▪ Identify areas within operations and projects where AI can reduce costs and increase productivity.

▪ Apply AI-driven analytics for decision-making and performance monitoring.

▪ Explore industry-specific use cases relevant to Calgary’s energy and tech ecosystem.

▪ Build strategies for integrating AI solutions into existing workflows


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.

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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 session: [email protected]


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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 ON, Ottawa - Albert & Metcalfe, 116 Albert Street Suite 200 & 300, Ottawa, Canada

Event Location & Nearby Stays:

Tickets

USD 749.86 to USD 1281.26

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