Health Data 101 Course

Health Data 101 Course Course

A foundational yet comprehensive course for anyone entering the world of health data.

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9.6/10 Highly Recommended

Health Data 101 Course on Udemy — A foundational yet comprehensive course for anyone entering the world of health data.

Pros

  • Broad coverage of data types, standards, and real-world use cases.
  • Clear explanation of technical and compliance topics.
  • Useful for healthcare professionals, IT staff, and policy students.

Cons

  • No hands-on exercises or data tool demonstrations.
  • May require supplemental learning for analytics tools like SQL or Tableau.

Health Data 101 Course Course

Platform: Udemy

Instructor: Eddie Jay

What will you in Health Data 101 Course

  • Understand the fundamentals of health data and its role in the modern healthcare ecosystem.

  • Explore different types of health data: clinical, claims, patient-reported, and social determinants.

  • Learn how Electronic Health Records (EHR), health IT systems, and interoperability standards function.

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  • Gain insights into data privacy, security, and compliance (HIPAA, HITECH).

  • Discover how health data supports analytics, policy, value-based care, and innovation.

Program Overview

Module 1: Introduction to Health Data

⏳ 30 minutes

  • What is health data and why it matters in healthcare.

  • Categories of health data: clinical, administrative, consumer-generated.

Module 2: Key Health Data Sources

⏳ 45 minutes

  • EHRs, claims databases, registries, and wearables.

  • Data from labs, imaging centers, and pharmacy systems.

Module 3: Electronic Health Records & Health IT Systems

⏳ 60 minutes

  • EHR structure and functionalities.

  • Overview of health information exchanges and interoperability challenges.

Module 4: Data Standards & Interoperability

⏳ 45 minutes

  • HL7, FHIR, ICD, SNOMED, and LOINC explained.

  • How standardized data enables better care and analytics.

Module 5: Privacy, Security & Compliance

⏳ 45 minutes

  • HIPAA, HITECH, and key data protection principles.

  • Role-based access, consent, and patient data rights.

Module 6: Health Data Use Cases

⏳ 45 minutes

  • Data in public health, research, policy-making, and quality improvement.

  • Case studies in predictive analytics and population health.

Module 7: Careers & Next Steps in Health Data

⏳ 30 minutes

  • Career paths in health informatics, analytics, and compliance.

  • Tools and certifications to grow in the field.

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Job Outlook

  • High Demand: Health data professionals are essential in hospitals, payers, research, and public health agencies.

  • Career Advancement: Opens doors to roles like Health Data Analyst, Health IT Specialist, or Health Informatics Manager.

  • Salary Potential: Roles typically range from $65K–$120K depending on specialization and certifications.

  • Freelance Opportunities: Analysts and consultants are often hired for data mapping, compliance audits, and EHR optimization.

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