- From www.edx.org
Data Analytics and Visualization in Health Care
- Self-paced
- Free Access
- Fee-based Certificate
- 8 Sequences
- Advanced Level
Course details
Syllabus
Module 1: Introduction to Health Care
Components of Health Care
Stakeholders
Care Settings
Financing
Public Health
Regulatory/Research
Challenges and Opportunities
The Triple Aim
Quality and Cos
Patient Experience/Access
Systems Approach
Evidence-Based Medicine
Quality Improvement
Value-Based Reimbursement
Health Care Trends
Demographics/Population Health
Consumerism/Personalized Medicine
Emerging Trends in Health Care
Module 2: Introduction to Health Informatics
Overview of Health IT
What is Health Informatics?
How Health Informatics Supports Triple Aim
Health IT Systems and Components
EMR/EHR Modules and Ancillary Data Systems
Enterprise Systems vs. Best of Breed
Structured Versus Unstructured Data
EHR Adoption
EHR Regulations
Barriers to EHR Adoption
Interoperability and HIT Standards
Health IT Standards
Data Exchange
Clinical Decision Support
HIPAA Security
Public Health IT and Consumer Engagement
Module 3: Introduction to Data Analytics
Data Terms and Concepts
Why Data Analytics?
Virtuous Cycle in Analytics
Data Terminology
Big Data Terminology
Getting Data Ready for Analysis
Considerations Before Analyzing
Integrating Data Across Data Sets
Data Governance, Privacy, and Security
Data Governance Within the Organization
Patient Identification
Regulatory Considerations and Data Security
Analysis with Artificial Intelligence
Machine Learning in Health Care
Natural Language Processing in Health Care
Making Data Usable to Others
Finalizing Data for Analysis
Communicating Data
Module 4: Introduction to Visualizations
Value of Visualization
Visualization Best Practices
What Not to Do
Types Based on Use Case
Visualizations of Complex Data
Dashboard Design
Analyzing Visuals
Exploratory vs. Explanatory Visualization
Quantitative vs. Qualitative Visualization
Uses in Health Care
Tools for Analysis and Visualization
Gartner Software Benchmarking
Current Tools
Prerequisite
This course is ideal for those who have completed a bachelor's degree. Some experience in the health care field recommended, but not required. Fundamental knowledge of statistics and research methods preferred.
Instructors
Travis Masonis
Adjunct Professor
Rochester Institute of Technology
Matthew Phillips
Adjunct Professor
Rochester Institute of Technology
Jodi Lubba
Adjunct Professor
Rochester Institute of Technology
Johnny Brown
Adjunct Professor
Rochester Institute of Technology
Editor
Founded in 1829, Rochester Institute of Technology is a coeducational, privately funded university with nine colleges emphasizing career education and experiential learning.
THE CAMPUS occupies 1,300 acres in the suburbs of Rochester, the third largest city in New York State. RIT also has international locations in China, Croatia, Dubai and Kosovo.
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