HITEQ RESOURCES & EVENTS
Dental Dashboard
Dental Dashboard

Dental Dashboard

This health center-tested Dental Dashboard, created by NNOHA and partners, is an interactive resource that allows users to monitor a set of dental measures through an online data collection tool and a chart presentation tool, allowing monitoring of performance and opportunities for QI. A case study is also included.

In the Incubator: Using Social Determinants Data
In the Incubator:  Using Social Determinants Data

In the Incubator: Using Social Determinants Data

This mini-case study describes Petaluma Health Center, a Federally Qualified Health Center’s approach to incorporating social determinants data into their daily workflows.  They then used Tableau visualization to represent the data to enable them to target interventions in the community.  Petaluma’s lessons learned and next steps are discussed, and a link to the full, detailed case study is provided.

Before You Buy: A Checklist for Evaluating Your Analytics Vendor
Before You Buy: A Checklist for Evaluating Your Analytics Vendor

Before You Buy: A Checklist for Evaluating Your Analytics Vendor

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.

Five Best Practices to Enable Population Health Management
Five Best Practices to Enable Population Health Management

Five Best Practices to Enable Population Health Management

From Tableau, this whitepaper provides five best practices for implementing population health management using data.  Healthcare reform is fueling the shift away from fee-for-service models toward pay-for-performance, value-based care paradigms. In order for healthcare organizations to successfully transition, there is an acute need for actionable analysis of data derived from individual patients and populations. 

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