Health Data 201: 1 Day Core Foundations Training, New York City, NY
Schedule
Sat, 14 Mar, 2026 at 09:00 am to Wed, 19 Aug, 2026 at 05:00 pm
UTC-04:00Location
regus NY, New York City - 100 Church Street | New York, NY
About this Event
Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
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 will be provided during the session
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 the 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
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Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.
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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:
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
Where is it happening?
regus NY, New York City - 100 Church Street, 100 Church Street 8th Floor, New York, United StatesEvent Location & Nearby Stays:
USD 542.07 to USD 705.91
