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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
Event date: 12/18/2018 3:00 PM - 4:00 PM Export event
Developing a Data Dashboard for PRAPARE Data

Developing a Data Dashboard for PRAPARE Data

HITEQ Highlights

Health centers are interested in using social determinants data to manage and improve the health of their patient population and community, and are at different places on the population health management (PHM) and social determinants of health (SDH) adoption curve. The Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE) is a national effort to help health centers and other providers collect the data needed to better understand and act on their patients’ social determinants of health. In this webinar, the Colorado Community Managed Care Network (CCMCN), a Health Center Controlled Network (HCCN) highlighted a Tableau data dashboard that they have developed to help their health centers make decisions on population health management. They discussed the rationale for developing the tool, challenges and facilitators to integration, and how their health centers benefit from data sharing across Tableau.

 

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Acknowledgements

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

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