Health Data and Electronic Health Records(EHR) for Beginners

This course is designed to help learners of all backgrounds understand and apply health data, Electronic Health Records (EHR), and core healthcare IT (HIT) concepts in real-world healthcare settings. Whether you’re interested in Medical Records Management, Health informatics, FHIR/HL7 interoperability, or Healthcare Data Analytics for clinics and Telehealth, you’ll build a strong, practical foundation—focused on how care, data, and technology connect at the point of service.

You’ll learn how modern EHRs capture, store, and exchange clinical and administrative information; how data structures (encounters, orders, medications, problems) map to clinical taxonomies (ICD, CPT, SNOMED); and how interoperability works using HL7 v2 and FHIR APIs. The course moves from fundamentals (privacy, security, governance) to applied workflows (scheduling, documentation, orders, results, billing) and analytics (KPIs, dashboards) so you can see how value is created in real organizations.

Designed to be beginner-friendly, this course offers clear explanations, short demos, and scenario-based examples from EHR screens, clinical notes, and revenue cycle artifacts to reinforce learning. No prior medical or technical experience is required.

What You’ll Learn

• Understand the health data landscape, sources, and lifecycle

• Navigate EHR core concepts, roles, and end-to-end workflows

• Use clinical taxonomies in Medical Records Management

• Grasp interoperability with HL7 messages and FHIR resources

• Apply privacy, security, and legal frameworks (e.g., HIPAA)

• Connect encounters to claims in the revenue cycle

• Improve data quality with validation, lineage, and stewardship

• Explore starter Healthcare Data Analytics and decision support

Course Features

• 12 structured sections: Health Data Landscape; Data Structures & Clinical Taxonomies; EHR Core Concepts & Workflows; Interoperability & APIs; Privacy, Security & Law; Insurance & Revenue Cycle Essentials; Implementation & Change Management; Data Quality, Errors & Governance; Analytics & Decision Support; Public Health, Research & Registries; Telehealth, Wearables & IoT; Patient Engagement & PHR; Leadership, Quality & Risk Management

• Practical, job-ready explanations with real-world artifacts and examples

• Beginner-friendly pacing with visual diagrams, checklists, and mini-projects

• Flexible learning—accessible on mobile, desktop, or tablet

• Clear terminology with quick references for acronyms and standards

Who This Course Is For

• Aspiring health informatics or HIT professionals

• Front-office/back-office staff moving into EHR or data roles

• Analysts/engineers pivoting to FHIR, HL7, or healthcare datasets

• Clinicians and students seeking an EHR/data foundation

• Administrators and quality leaders expanding into analytics and governance

• Anyone entering healthcare who needs to understand how data powers care

This course serves as an ideal introduction to health data and EHR for practical, professional use—especially if you’re preparing for a role in healthcare IT, informatics, integrations, or analytics. Whether you’re new to the field or upskilling, you’ll leave with the confidence to understand how information moves through an EHR, how standards like HL7 and FHIR enable exchange, and how privacy, security, and governance sustain trust while supporting quality and performance improvement.

Disclosure: This course contains the use of artificial intelligence for clear voiceovers.