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The Quadruple Aim
Quadruple Aim

A Conceptual Framework

Improving the U.S. health care system requires four aims: improving the experience of care, improving the health of populations, reducing per capita costs and improving care team well-being. HITEQ Center resources seek to provide content and direction aligned with the goals of the Quadruple Aim

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Overview

Data monitoring, from the highest level down to the patient level is critical to identifying trends, gaining insights, and communicating transparently with staff and stakeholders. Data monitoring approaches such as dashboarding are used to display data in a simple and intuitive way, allowing a snapshot of performance on selected measures to see changes or areas for improvement. Business intelligence systems such as population health management analytics allows for the monitoring of the health of a whole patient population, stratified by various characteristics, thereby supporting care planning, resource allocation, and training opportunities. Resources in this section include tools to begin dashboarding, considerations for taking the next step with population health management and guidance on how to navigate the many factors of any data monitoring approach.

Monitoring and Communicating with Data
Value Based Care Basics Module 2
Molly Rafferty
/ Categories: Value Based Payment, Value Based Payment Basics, Data Demonstrating Health Center Value, Engaging in Value Based Payment Models

Value Based Care Basics Module 2

HITEQ Value Based Care Basics Series, June 2023

The Value Based Care Basics training is a three-module series. All three modules can be completed by health center leaders to gain a working knowledge of value based care and how to successfully implement it at your health center. This second module includes a video and companion resource related to Managed Care data. View Module 1 and 3 in the Resource Links section below. 

View the video to learn about the importance of managed care data in value based payment and population health, including how managed care data can be used and should be put into practice. You will also hear about best practices and applications for managing and using managed care data. 

The companion resource assists organizations in understanding the necessary data and data-related tools for managing population health within a managed care environment. It is a primer on the types of best practices that are necessary to maximize care delivery models that are responsive to value based payment programs. 

Learning Objectives: 

After completing this module, participants will be able to: 

  • Recall the definitions for managed care data categories and sources for each data component
  • Describe how health plans use the limited data they have and the implications on Federally Qualified Health Center (FQHC) care
  • Understand that health plans use different data to approximate providers (i.e. – you, the FQHC) in the same way that FQHCs use Electronic Health Record data to approximate quality, outcomes, etc. 
  • Explain what managed care data is most helpful and important as an FQHC enters value based payment arrangements and how to frame a request and negotiate for access to that data 
  • Discuss how the managed care data fields connect to the Health Care Payment Learning & Action Network (HCP-LAN) Alternative Payment Model (APM) Framework Payment Categories
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Resource Links

Related Resources

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.