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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
Data Driven Programming to Maximize Care for Residents of Public Housing

Data Driven Programming to Maximize Care for Residents of Public Housing

Presented for National Nurse Care Consortium (NNCC) for health centers serving public housing patients

This presentation walks public housing-focused health centers, such as those with public housing primary care grants, through available UDS reports and tools that can be used for informing services and planning. A number of specific examples are shown of how information from the UDS can be used for improvement. Other information provided serves as a reference for reporting of public housing on Table 4 of the UDS. 

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Intended Audiencepublic housing primary care health centers, data analysts, quality improvement staff

Acknowledgements

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