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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

Through the data validation process, valuable information is gained that can then be used to improve performance around patient care or quality of care metrics.  Improving quality performance may take the form of improving data collection processes, better identifying patients who need additional interventions, or decreasing missed opportunities to provide patients appropriate interventions, among other possibilities. This section includes guidance on leveraging Health IT to improve quality performance including change packages for recommended approaches related to various quality of care measures.

Improving Performance Resources
Before You Buy: A Checklist for Evaluating Your Analytics Vendor
HITEQ Center
/ Categories: Population Health, Implementing PHM and SDH

Before You Buy: A Checklist for Evaluating Your Analytics Vendor

from Health Catalyst

According to Health Catalyst, the population health analytics market is a crowded and chaotic one, with many vendors lining up to claim they can help providers use their data to improve care and lower costs.  Making a wrong decision at this time in the market will paint you into a decision corner that could last four to five years, at least, while the market rapidly moves past your organization towards accountable care and quality-based payment models. 

This paper is designed to help you with your PHM analytics buying decision.  It outlines general criteria to help you assess a clinical analytics vendor; discusses the technology and change management an effective analytics solution should support; and introduces a Healthcare Analytics Adoption Model that will help you analyze vendors and evaluate your own plans for analytics adoption.

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Tags: ToolPopulation Health ManagementData AnalyticsimplementationPopulation Healthanalyticsvendor assessment

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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.