

Columbia University - HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)
- Offered byCoursera
- Public/Government Institute
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) at Coursera Overview
Duration | 42 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) at Coursera Course details
- HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is a 12-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. Also, it has additional, optional modules on other topics of interest or relevance. Although we suggest to complete the course within a month's timeframe, the course is self-paced and so you can start and finish the course at anytime during a month's time period. No additional hardware or software are required for this course.
- Our nation?s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting. The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care.
- This course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care. Each of the three courses is designed from a different perspective based on various healthcare roles. This first course is from a clinical perspective, geared towards physicians, nurse practitioners, physician assistants, nurses, clinical executives and managers, medical assistants, and other clinical support roles. However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings.
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) at Coursera Curriculum
Course and Case Introduction
Introduction to Clinical Perspective Course
Introduction to the Course Structure
Introduction and Definitions: Population Health and Health IT
Population Health Management and Health IT
Benefits of Healthcare Interoperability
Barriers to Interoperable Health IT
National Strategy for Health Interoperability
Arrival at the Emergency Department
Now back to the case!
Resources and IT Systems at Hamilton Hospital
End of Case Part 1
What Do You Think? (#1)
Population Health and the Application of Health IT
What Do You Think? (#2)
Overview of Interoperable Health IT
Mr. Osner Santana Waits to Be Seen
Introduction to Value-Based Care
Introduction to Care Management
Care Delivery Challenges and Solutions
Health IT and Informatics for Value-Based Care
Taking Care and Vitals of the Patient
End of Case Part 2
What Do You Think? (#3)
Introduction to Value-Based Care
What Do You Think? (#4)
Care Management
Mr. Osner Santana Meets Dr. Jefferson (Part 1)
What is Care Coordination?
Care Coordination Models
Long-Term Care Coordination
Multidisciplinary Care Planning
Transformation Planning
Evidence-Based Clinical Practice
Introduction to Patient Engagement and Participation
Introduction to Mobile Health Technologies
mHealth Data
Introduction to Telehealth
Change in Nursing Shift
Decision Point 5: Transition to Case
The ED Visit
What Do You Think? (#5)
Overview of Care Coordination
Team-Based Approach to Care
What Do You Think? (#6)
Introduction to Patient Engagement and Participation
Expanding Access with Technology
Mr. Osner Santana Meets Dr. Jefferson (Part 2)
New Models of Care Delivery
Accountable Care Organizations
ACO Performance
The Patient-Centered Medical Home
Overview of Patient-Provider Communication
Trust and Respectful Interactions
Informatics Tools to Support Patient-Provider Communication
Patient-Initiated Information Exchange
Patient Preferences for Information Sharing
Information-Driven Patient Education
Health IT-Supported Communication Between Primary Care Provider and Specialist
Finding Primary Care for Mr. Santana
Decision Point 7: Transition to Case
Next Steps for Mr. Santana
Decision Point 8: Transition to Case
Moving to a Patient-Centered Medical Home
What Do You Think? (#7)
Healthcare Delivery
What Do You Think? (#8)
Patient-Provider Communication
Supporting Patient-Driven Care Coordination
Evaluation Survey and Next Steps
Applying Health IT to Improve Population Health at the Community Level: Determinants of Health and an Ecological Framework for Population Health
Applying Health IT to Improve Population Health at the Community Level: Two Case Studies of Population Health Informatics
Structural "Accountable" Care Approaches for Target Populations: Accountable Care Movement
Structural "Accountable" Care Approaches for Target Population: Population-Based Care Management
Structural "Accountable" Care Approaches for Target Population: The Business of Population Health
Implications of Policy, Finance, and Business on Population Health: Introduction to Finance
Implications of Policy, Finance, and Business on Population Health: Federal Policies Financing Policies
Implications of Policy, Finance, and Business on Population Health: States' and Employers' Financing Policies
Implications of Policy, Finance, and Business on Population Health: Providers and Accrediting Bodies
Population Health IT and Data Systems: Data Types-Overview and Demographics
Population Health IT and Data Systems: Data Types-Diagnoses and Medications
Population Health IT and Data Systems: Surveys, Utilization, and Groupers
Population Health IT and Data Systems: Emerging Data Types-Clinical Data and Patient-Generated Data
Population Health IT and Data Systems: Data Types-Insurance, EHR, and Registries
Population Health IT and Data Systems: Data Sources for Population Health
Population Health IT and Data Systems: Data Management in Population Health-Challenges and Opportunities
Identifying Risk and Segmenting Populations: Risk and Its Measurement in Population Health
Identifying Risk and Segmenting Populations: Predictive Models
Identifying Risk and Segmenting Populations: Risk and Predictive Model Case Study
Population Health Management Interventions: Prioritizing Population Health
Population Health Management Interventions: Intervention Strategies
Population Health Management Interventions: Implementing Population Health Interventions
Policy and Interoperable Health IT: Overview
Policy and Interoperable Health IT: Meaningful Use, ONC Certification, and Interoperability (Part 1)
Policy and Interoperable Health IT: Meaningful Use, ONC Certification, and Interoperability (Part 2)
Policy and Interoperable Health IT: Assessing and Leveraging Meaningful Use and ONC Certification Progress for Interoperability
Exchange of Health Information: Introduction
Exchange of Health Information: Health Information Exchange Organizations
Exchange of Health Information: Advancing Health Information Exchange through Meaningful Use and Direct
Exchange of Health Information: Future Directions for Health Information Exchange
Regulatory Environment: Rationale for Reform
Regulatory Environment: The Affordable Care Act
Regulatory Environment: Other Regulations
Value-Based Quality and Safety: Overview
Value-Based Quality and Safety: Measurement of Value-Based Care
Value-Based Quality and Safety: Reporting Quality Performance Measures
Value-Based Quality and Safety: Patient Experience
Value-Based Quality and Safety: Process Improvement
Outcomes and Reimbursements: Foundations
Outcomes and Reimbursements: Consumer Understanding of Quality and Cost
Contracts and Payments: Overview
Secondary Use of Clinical Data: Opportunities
Secondary Use of Clinical Data: Limitations and Challenges
Communicating Data Analysis Results: Communication and Visualization
Data Analytics in Clinical Settings: Measurement Issues-Current State
Data Analytics in Clinical Settings: Measurement Issues-Tools, Approaches, and Governance
Data Analytics in Clinical Settings: Population Management and Value-Based Care
Activated Patients: Do-It-Yourself Medicine
Activated Patients: The Quantified Self and mHealth
Communicating Health Risk: Overview
Communicating Health Risk: Evidence-Based Methods
Shared Decision-Making: Introduction
Shared Decision-Making: Patient Decision Aids
Precision Medicine: Part 1
Precision Medicine: Part 2
Structure of Optional Content
Applying Health IT to Improve Population Health at the Community Level
Structural "Accountable" Care Approaches for Target Population
Implications of Policy, Finance, and Business on Population Health
Population Health IT and Data Systems
Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health
Population Health Management Interventions
Policy and Interoperable Health IT
Exchange of Health Information
Regulatory Environment
Value-Based Quality and Safety
Outcomes and Reimbursements
Contracts and Payments
Secondary Use of Clinical Data
Communicating Data Analysis Results
Data Analytics in Clinical Settings
Activated Patients
Communicating Health Risk
Shared Decision-Making
Precision Medicine
Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health-Risk and Its Measurement in Population Health
Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health-Predictive Models
Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health-Risk and Predictive Model: Case Study
Engaging Consumers, Providers, and Community in Population Health Programs: PRECEDE-PROCEED Model for Engagement
Engaging Consumers, Providers, and Community in Population Health Programs: Behavior Change Models
Engaging Consumers, Providers, and Community in Population Health Programs: Evaluating Behavior Change Interventions
Engaging Consumers, Providers, and Community in Population Health Programs: Health IT and Health Systems
Introduction to Healthcare Data Analytics: Overview
Introduction to Healthcare Data Analytics: Understanding the Data
Working with Data: Tools Used in Data Analytics
Activated Patients: Do-It-Yourself Medicine
Activated Patients: The Quantified Self and mHealth
Communicating Health Risk: Overview
Communicating Health Risk: Evidence-Based Methods
Shared Decision-Making: Introduction
Shared Decision-Making: Patient Decision Aids
Structure of Optional Content
Identifying Risk and Segmenting Populations: Predictive Analytics for Population Health
Engaging Consumers, Providers, and Community in Population Health Programs
Introduction to Health Care Analytics
Working with Data
Activated Patients
Communicating Health Risk
Shared Decision-Making
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