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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
Developing Effective Data Dashboards
HITEQ Center

Developing Effective Data Dashboards

Primer on a process and tips in developing a data dashboard

The best dashboards give health centers actionable information at their fingertips, and use great design practices to focus a user’s attention on the most important information on the page. If you’re embarking on the process of designing a new dashboard with data you already have (or plan to collect), a bit of advance planning can set you up for success in how your dashboard is used for decisionmaking. This is a practical guide to developing your dashboard including common pitfalls in the design process. Included is a summary table of the pros and cons of commonly used dashboard tools such as Excel, Tableau, and Power BI to assist in assessing and choosing an appropriate dashboard tool.

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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.