Healthcare Data Management and Interfaces
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Healthcare Data Management and Interfaces
This course is part of Digital Healthcare Informatics and AI Specialization
Instructor: Frank Naeymi-Rad
Included with
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Skills you'll gain
- Data Mapping
- Emerging Technologies
- Health Information Management and Medical Records
- Unstructured Data
- Data Sharing
- Data Management
- Authorization (Computing)
- Health Informatics
- Clinical Documentation
- Health Technology
- Interoperability
- Data Integration
- Medical Records
- Health Care
- Health Information Management
- Clinical Data Management
- Internet Of Things
- Data Modeling
- Health Systems
Tools you'll learn
Details to know
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There are 3 modules in this course
This course provides healthcare professionals and students in health informatics with a comprehensive understanding of healthcare data management and interfaces. Participants will learn about key standards such as CDA, CCD, and USCDI, and how to apply these standards to ensure accurate and interoperable health records. The course will also cover the differences between structured and unstructured data and their implications for patient care.
In addition, learners will explore HL7 v2, HL7 FHIR, and SMART on FHIR, and gain hands-on experience using SNOMED CT, LOINC, and RxNorm for structuring health data. The course will evaluate the role of ontologies in semantic interoperability, identify challenges in interoperability, and propose solutions. Finally, participants will assess the potential of blockchain and IoT applications for secure health data exchange.
This module introduces the foundational data types and standards that enable healthcare information exchange. Learners will explore the difference between structured and unstructured data, examine the evolution of HL7 standards (V2, V3, CDA, C-CDA, CCD), and study modern interoperability frameworks including HIE, FHIR, SMART on FHIR, and USCDI. Through case-based discussions, learners will understand how these standards support consistent data representation, sharing, and reuse across clinical, administrative, and research domains.
What's included
31 videos3 readings2 assignments1 discussion prompt
31 videos•Total 78 minutes
- About the Specialization•2 minutes
- Welcome and Course Overview•1 minute
- Instructor Introduction•5 minutes
- C2M1L1.1 Lesson Overview and Definition of Unstructured Data•3 minutes
- C2M1L1.2 Challenges of Unstructured Data•3 minutes
- C2M1L1.3 Structured Data•2 minutes
- C2M1L1.4 Role of Structured Data in Interoperability•3 minutes
- C2M1L1.5 Role of Structured Data in Analytics•3 minutes
- C2M1L1.6 Impact on Patient Care•2 minutes
- C2M1L2.1 Lesson Overview and Definition of Health Level Seven (HL7)•1 minute
- C2M1L2.2 HL7 v2 - Foundational Interoperability Standard•2 minutes
- C2M1L2.3 HL7 v3•2 minutes
- C2M1L2.4 Clinical Document Architecture (CDA)•2 minutes
- C2M1L2.5 CDA Structure and Format •2 minutes
- C2M1L2.6 The Challenge - Multiple CDA Implementation Guides•2 minutes
- C2M1L2.7 Consolidated-CDA (C-CDA)•2 minutes
- C2M1L2.8 C-CDA - Templates for Common Clinical Documents•2 minutes
- C2M1L2.9 Continuity of Care Document (CCD)•3 minutes
- C2M1L2.10 The CCD Format•2 minutes
- C2M1L3.1 Lesson Overview and Definition of FHIR•3 minutes
- C2M1L3.2 FHIR Resources and Endpoints•3 minutes
- C2M1L3.3 FHIR Search - Patient Face Sheet Application•3 minutes
- C2M1L3.4 SMART on FHIR•3 minutes
- C2M1L3.5 SMART on FHIR Launch Flows•2 minutes
- C2M1L3.6 SMART on FHIR Application Examples•3 minutes
- C2M1L3.7 FHIR Profiles and Extensions•2 minutes
- C2M1L3.8 USCDI and its Role in FHIR•2 minutes
- C2M1L3.9 Customizing FHIR for US Requirements•2 minutes
- C2M1L3.10 Health Information Exchange•4 minutes
- C2M1L3.11 HIE's Enabling FHIR-Based Interoperability and Patient Engagement•4 minutes
- C2M1L3.12 Integration Ecosystem•3 minutes
3 readings•Total 60 minutes
- Syllabus•10 minutes
- Module 1 Overview•10 minutes
- Module 1 Readings•40 minutes
2 assignments•Total 95 minutes
- Module 1 Check Your Knowledge•5 minutes
- HL7 and FHIR Interoperability Brief•90 minutes
1 discussion prompt•Total 10 minutes
- Meet & Greet the Class•10 minutes
This module focuses on the application of data standards in research and operational healthcare environments. Learners will study widely adopted research data models such as OMOP and PCORnet, understanding their structure, use cases, and alignment with FHIR resources. The module also explores real-world challenges in mapping inconsistencies and technical integration issues.
What's included
16 videos2 readings2 assignments
16 videos•Total 48 minutes
- C2M2L1.1 Lesson Overview and Introduction to OMOP•3 minutes
- C2M2L1.2 OMOP Common Data Model (CDM)•2 minutes
- C2M2L1.3 Introduction to PCORnet•3 minutes
- C2M2L1.4 PCORnet Common Data Model (CDM)•2 minutes
- C2M2L1.5 Vocabulary Mapping FHIR, OMOP & PCORnet•2 minutes
- C2M2L1.6 Vocabulary Mapping to FHIR and OMOP•3 minutes
- C2M2L1.7 Vocabulary Mapping to FHIR and PCORnet•3 minutes
- C2M2L1.8 CDM Applications in Research and Public Health•2 minutes
- C2M2L1.9 Case Study - OMOP–LEGEND Hypertension Study•4 minutes
- C2M2L1.10 Case Study - PCORnet – Antibiotics & Childhood Growth•3 minutes
- C2M2L1.11 When to Use OMOP and PCORnet•2 minutes
- C2M2L2.1 Lesson Overview and Introduction to Data Mapping Complexity & Standardization Challenges•3 minutes
- C2M2L2.2 Semantic Interoperability Gaps•2 minutes
- C2M2L2.3 FHIR Implementation Variation•2 minutes
- C2M2L2.4 Case Study 1 CommonWell-Carequality Connectivity (2020-2025)•6 minutes
- C2M2L2.5 Case Study 2 University of Colorado Source Data Change (2023)•5 minutes
2 readings•Total 60 minutes
- Module 2 Overview•10 minutes
- Module 2 Readings•50 minutes
2 assignments•Total 125 minutes
- Common Data Model Analysis•120 minutes
- Module 2 Check Your Knowledge•5 minutes
What's included
2 assignments
2 assignments•Total 180 minutes
- Course Summative Assessment•30 minutes
- Milestone Project: Patient Engagement Portal Proposal•150 minutes
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