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Data Governance, Management, and Analyticsis a component of AMIA’s Health Informatics Essentials, a series of educational offerings that promote the profession of health informatics and its power to transform health care.

Target Audience

Professionals involved in direct or indirect care of patients who desire to learn more about the practice of health informatics coming from a range of educational and training pathways including, but not limited to nursing, medicine, pharmacy, dentistry, public health, health informatics, and computer science.

Learning Objective

After participating in this activity, the learner should be better able to:

  • Demonstrate knowledge of concepts and skills needed to ensure data quality and analyze health data to support the processes and performance of health care and public health organizations.


The video lectures, ranging in length from 6 to 28 minutes, are organized into the following six modules: 

  • Current Landscape of Health IT: Legislation Supporting and Promoting Data Sharing
  • Common Components for Data-sharing Agreements
  • Data Provenance and Integrity
  • Data Stewardship

  • The Data Life Cycle
  • Data Dictionaries and Metadata Repositories
  • Extract, Transform, and Load (ETL)
  • Disparate Data Sources
  • Data Validation Importance
  • Relational and Non-relational Database Designs
  • Data and Information Architecture

  • Clinical Data Registries and Decision-making
  • Health Information Exchange (HIE) Data Architectural Models
  • HIEs, Patient-matching Algorithms and Data Harmonization

  • Specialized and Emerging Data
  • Management of Specialized and Emerging Data
  • Integrating Emerging Data Sources into Business and Clinical Decision-making

  • Query Tools and Techniques
  • Descriptive and Inferential Statistics
  • Computing the Slope and Intercept in Linear Regression
  • Various Regression Models
  • Bayesian and Classical Statistical Methods
  • Claims Data - Analytics and Benchmarks

  • Introduction to Advanced Analytics Models
  • Design Considerations for Advanced Analytics Models
  • Using Natural Language Processing to Analyze Clinical Narrative
  • Precision Medicine and its Relationship with Informatics
  • An Introduction to Spatial Data and Analysis
  • Data Visualization


In addition to the 30 videos, the CME/CNE-certified course offers:

  • 30 downloadable scripts of the videos, with hyperlinked references and resources for additional study
  • 5 Self-assessment questions
  • “Deeper Dive” assignment for the learner to reflect on how the knowledge gained may influence future practice

Faculty Information

Zach Burningham, PhD, MPH
Senior Research Analyst
Utah Department of Health
Director, Real-world Data Analytics & Innovation
Merck Research Laboratories
Saif Khairat, PhD, MPH, FAMIA
Associate Professor
University of North Carolina at Chapel Hill
Frank Liao, PhD
Director of Data Science & Advanced Analytics, Enterprise Analytics
Information Services at UW Health
Robert Marshall, MD, MPH, MISM, FAAFP, FAMIA
Program Director, CI Fellowship
Madigan Healthcare System
Lisa Masson, MD, MBA, FAAFP, FAMIA
Associate Medical Director, Ambulatory Clinical Informatics Professor, Medicine
Tasneem Motiwala, MD, PhD, FACMI, FAMIA
Instructor, Department of Biomedical Informatics Analytics Consultant, OSU Health Plan
The Ohio State University College of Medicine
Mina Ostovari, PhD
Senior Clinical Researcher
Christiana Care Health Systems
Emily Pfaff, PhD, MSIS
Research Assistant Professor Co-Director, Informatics and Data Science, NC TraCS Institute
University of North Carolina at Chapel Hill
Hojjat Salmasian, MD, MPH, PhD
Assistant Professor of Medicine, Brigham and Women's Hospital
Affiliate Member, Department of Biomedical Informatics, Harvard Medical School
Harm Scherpbier, MD, MS, FAMIA
HealthShare Exchange
Lois Walters-Threat, DNP, MS, RN-BC
Senior Magnet Program Analyst
American Nurses Credentialing Center

Accreditation Statement

The American Medical Informatics Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Credit Designation Statement

The American Medical Informatics Association designates this enduring material for a maximum of 7 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Continuing Education for Nurses

American Medical Informatics Association is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation.

  • Approved Contact Hours: 7 contact hours
  • Lead Nurse Planner (ANCC-criteria compliance): Juliana J. Brixey, PhD, MPH, MSN, RN
  • Nurse Planner (Content): Lynda R. Hardy, PhD, RN, FAAN

Cancellation/Refund Policy

AMIA does not offer refunds for online products. We are always happy to discuss any issues you may be having with our online courses.

Registration Information

  • Upon purchase you will receive an access link via email.
  • Purchase of this product includes 1-year subscription access.
  • Using your AMIA login, you will have access to the content for a year – from date of purchase.
Dates and Times: -
Type: Health Informatics Essentials
Course Format(s): On Demand
Course Level: Introductory to Intermediate
Price: Member: $199, Non-member: $399;
Time To Complete: 7 hours
Register now