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Columbia University - HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective) 

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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 External Link Icon

Credential

Certificate

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

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.
Details Icon

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)
 at 
Coursera 
Course details

More about this course
  • 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.
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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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HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Clinical Perspective)
 at 
Coursera 

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