Unit 1.1: Key Components in Healthcare Data Management
$15.00
Add to Cart Format: E-course
Duration: Approx 60 min
Instructors: CORAL MED
Learning Credits: 0.15 CEU
*This course was updated on Aug 18, 2025.
Description
This Course introduces fundamental components of healthcare data management, including data types, standards, interoperability, and governance frameworks. This course introduces learners to the essential components of healthcare data management, including data collection, storage, integration, and governance. Emphasis is placed on the role of electronic health records (EHRs), data standards, interoperability, and compliance frameworks such as HIPAA and ONC regulations. Students will understand how structured and unstructured data flows through healthcare systems to support patient care, research, and decision-making. Unit 1.1 provides a foundational overview of how data is captured, processed, and safeguarded in healthcare settings. Learners will explore critical topics such as database structures, coding standards (ICD, CPT, SNOMED), interoperability protocols (HL7, FHIR), and data quality principles. The unit also addresses challenges of big data, analytics, and ensuring integrity, confidentiality, and accessibility of health information.
By the end of this course the learner will be able to define healthcare data types, explain interoperability standards, describe data governance, and analyze the role of data management in healthcare delivery.
By the end of this unit, learners will be able to:
1.1.1 Identify the major components of healthcare data management systems.
1.1.2 Describe the role of EHRs, data warehouses, and health information exchanges.
1.1.3 Explain key interoperability standards such as HL7, FHIR, and CCD.
1.1.4 Analyze the importance of data quality, governance, and stewardship.
1.1.5 Evaluate compliance requirements for healthcare data (HIPAA, ONC).
1.1.6 Illustrate the flow of healthcare data across clinical, financial, and administrative systems.
Learners will be able to identify healthcare data sources, apply data standards, and demonstrate understanding of governance and interoperability principles.
Upon completion, learners will be able to:
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Demonstrate understanding of healthcare data lifecycle and core components.
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Differentiate between structured and unstructured health data.
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Apply data governance principles to case scenarios.
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Assess interoperability challenges and solutions in real-world settings.
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Integrate compliance and ethical considerations into data management decisions.
Entry-level.
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Basic computer literacy and knowledge of healthcare operations.
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Recommended: Completion of Foundations of Healthcare Administration or equivalent experience.
Follow Coral Plus LMS policies: participation, integrity, respectful conduct, HIPAA/privacy adherence, timely completion of assessments. Participants are encouraged to join the webinar a few minutes early to resolve any technical issues 4. Participants are responsible for ensuring a stable internet connection, compatible devices (computer, tablet, or smartphone), and recommended browsers. 5. A microphone and webcam may be required for interactive sessions. Please test your audio and video settings in advance. 6. The webinar may be recorded for educational purposes. 7. Recorded sessions may be shared with registered participants after the webinar. 8. Please be mindful not to share personal or confidential information during the webinar. 9. A detailed agenda will be provided, and each session will adhere to the schedule to cover all planned topics. 10. Time will be allocated for Q&A sessions and discussions. 11. A helpdesk or contact information for technical support will be provided during the webinar. 12. Common technical issues will be addressed at the beginning of the session. 13. Relevant resources, such as presentation slides or additional reading materials, will be shared after the webinar.
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Health Information Managers and Analysts.
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IT professionals working in healthcare.
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Clinical managers and compliance officers.
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Data scientists and informatics students.
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Policy professionals seeking to understand health data infrastructures.
Data analysts, informaticians, health IT staff, program managers
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