AI Academy

The Social and Technical Context of Health Informatics

Instructor: Harold P. Lehmann, MD, Ph.D. Duration: 9 hours to complete
Objective 1 Articulate a coherent problem definition of, and a plan for addressing, a healthcare informatics problem.
Objective 2 Create an Informatics Stack analysis of an informatics problem.
Objective 3 Describe eleven socio-technical aspects of a health informatics problem or solution.
Health Technology
Health Care
Health Care Procedure and Regulation
Medical Imaging
Data Literacy
Information Privacy
Health Policy
Health Information Management
System Requirements
Information Technology
Electronic Medical Record
Interoperability
Emerging Technologies
Technology Strategies
Health Informatics
Healthcare Industry Knowledge

Leading Change in Health Informatics

Instructor: Ashwini S. Davison, M.D. Duration: 2 weeks at 10 hours a week
Objective 1 Describe essential steps in the process of successfully leading change in health IT organizations.
Objective 2 Recognize the importance of multidisciplinary and interprofessional teamwork in health informatics.
Objective 3 Utilize several common project management and strategic planning tools used by health informaticists.
Objective 4 Apply best practices for successful change management in health informatics.
Governance
Procurement
Business Transformation
Health Care Administration
Health Informatics
Vendor Management
IT Management
Organizational Development
Health Systems
Decision Support Systems
Project Management
Return On Investment
Process Improvement
Workflow Management
Organizational Change
Leadership and Management
Strategic Leadership
Clinical Leadership
Change Management

The Outcomes and Interventions of Health Informatics

Instructor: Harold P. Lehmann, MD, Ph.D. , Paul Nagy, PhD, FSIIM Duration: 6 hours to complete Recommended experience
Objective 1 Identify opportunities for healthcare informatics interventions.
Objective 2 Apply a structured framework for articulating the components of decision support.
Objective 3 Design knowledge acquisition for decision support.
Objective 4 Outline a health informatics solution for decision support
Health Technology
Health Information Management
Health Informatics
Decision Support Systems
Solution Design
Electronic Medical Record
Requirements Elicitation
Data Collection
Clinical Data Management
Usability Testing
Health Care
User Centered Design

The Data Science of Health Informatics

Instructor: Hadi H. K. Kharrazi, MD, Ph.D , Sam Meiselman Duration: 10 hours to complete 3 weeks at 3 hours a week
Objective 1 Articulate different forms of clinical and population level data.
Objective 2 Describe the data required to answer a healthcare information problem.
Objective 3 Distinguish between data questions and data queries when dealing with a healthcare information problem.
Big Data
Data Quality
Query Languages
Electronic Medical Record
Databases
Data Integration
Interoperability
Health Information Management
Healthcare Industry Knowledge
Health Informatics
Health Care
Data Mining
Data analysis
Clinical Data Management

Culminating Project in Health Informatics

Instructor: Ashwini S. Davison, M.D. , Harold P. Lehmann, MD, Ph.D. Duration: 1 week to complete at 10 hours a week
Health Technology
Health Care
Health Care Administration
Technical Communication
Requirements Analysis
Health Information Management
Data Access
Systems Analysis
Health Informatics
User Centered Design