Health Data And Electronic Health Records(EHR) For Beginners

What you'll learn
Explain how health data flows across clinical, administrative, and billing systems
Describe core EHR components, user roles, and real-world workflows
Map clinical taxonomies (ICD, CPT, SNOMED) to Medical Records Management use cases
Understand interoperability basics with HL7 v2, FHIR resources, and APIs
Apply privacy and security principles (HIPAA, access controls, audit logs) in HIT
Connect EHR events to Insurance & Revenue Cycle steps (eligibility, claims, remits)
Spot data quality issues and set up basic governance for accurate Health informatics
Use starter Healthcare Data Analytics ideas (KPIs, dashboards) for decision support and Telehealth scenarios
Requirements
No prior clinical or technical experience required
Basic computer literacy and comfort with spreadsheets/docs
Willingness to learn healthcare acronyms and workflows
Interest in healthcare IT (HIT), quality, or analytics roles
Description
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 LearnUnderstand the health data landscape, sources, and lifecycleNavigate EHR core concepts, roles, and end-to-end workflowsUse clinical taxonomies in Medical Records ManagementGrasp interoperability with HL7 messages and FHIR resourcesApply privacy, security, and legal frameworks (e.g., HIPAA)Connect encounters to claims in the revenue cycleImprove data quality with validation, lineage, and stewardshipExplore starter Healthcare Data Analytics and decision supportCourse Features12 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 ManagementPractical, job-ready explanations with real-world artifacts and examplesBeginner-friendly pacing with visual diagrams, checklists, and mini-projectsFlexible learning-accessible on mobile, desktop, or tabletClear terminology with quick references for acronyms and standardsWho This Course Is ForAspiring health informatics or HIT professionalsFront-office/back-office staff moving into EHR or data rolesAnalysts/engineers pivoting to FHIR, HL7, or healthcare datasetsClinicians and students seeking an EHR/data foundationAdministrators and quality leaders expanding into analytics and governanceAnyone entering healthcare who needs to understand how data powers careThis 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.
Beginners exploring Health informatics or healthcare IT careers,Medical office staff, billers, or admins moving into EHR work,Entry-level analysts curious about Healthcare Data Analytics,Nurses/clinicians seeking a non-technical EHR/data foundation,Tech professionals pivoting into HIT, FHIR/HL7, or integration roles,Students preparing for internships in hospitals, clinics, or health tech startups
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