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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
Insights from the Field: Key Considerations for Implementing Health Information Exchange
Molly Rafferty
/ Categories: Health Information Exchange, Relevance of HIE, Description of HIE, Implementation of HIE, Population Health, Using Data for PHM and SDH, Improving PHM and SDH Quality

Insights from the Field: Key Considerations for Implementing Health Information Exchange

Published August 2021

As medical care facilities seek to support patient safety and be responsive to their complete medical needs and histories, health centers also recognize that establishing an infrastructure for data sharing must be a top priority. Better practices for Health Information Exchange (HIE) increase patient wellbeing by giving providers more complete information for clinical decision making, eliminating unnecessary procedures and tests, reducing the burden of paperwork, and lowering costs. In 2020, HITEQ interviewed five groups that implemented clinical data sharing infrastructure in health care settings, including Federally Qualified Health Centers (FQHCs). A set of example use cases were developed from these interviews, and we identified ten themes that may help guide other organizations interested in implementing HIE. Information from 1424 qualified health centers and health center look-alikes from the CY2019 Uniform Data Set also informed the current impact of data sharing, indicating that technology and potential workflows exist to support HIE within FQHCs.

View the key considerations gleaned from this research to identify lessons learned related to establishing HIE within a health center setting. The resource is available in the Documents to Download section below.

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Tags: UDShealth information exchangeHIEFQHCHIE DescriptionHIE RelevanceFQHCsUDS data

Documents to download

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.