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Interoperability Readiness Scorecard Interoperability Readiness Scorecard

Interoperability Readiness Scorecard

HITEQ Center, July 2023

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Many health centers struggle to reap the benefits of technological advancement and investments in health information technology (health IT), while others embrace them and reap rewards. Interoperability is one such example; requiring health centers assess systems, relationships, and implementation. There are keys to successful interoperability implementation for which health centers must develop processes, stand up infrastructure (within the system, internally and externally, and organization), and then take action. Process refers to structured processes, policies, and procedures...
Performance Measure Data Definition Worksheet Performance Measure Data Definition Worksheet

Performance Measure Data Definition Worksheet

December 2022

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The Performance Measure Data Definition Worksheet can be used during the Quality Improvement (QI) process to assess the alignment of your health center’s workflows and documentation and your EHR vendor’s reporting logic processes. The Office of the National Coordinator for Health Information Technology (ONC) EHR Certification criteria requires EHR vendors to use eCQM (electronic...

Improving Diabetes Outcomes

Curated Expert Guidance, Tools, and Resources, Updated September 2019

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As of CDC's 2017 National Diabetes Statistics Report, 30.3 million people, or 9.4% of the total U.S. population, have diabetes. Of these 30.3 million, only 23.1 million are...

How Healthcare Visualizations Can Improve Organizational Buy-In

Data visualizations in many forms can be incredibly valuable in helping health center staff and leadership move from a passive understanding of the data to active support of health IT enabled, data driven quality improvement approaches. While introducing...

Analytics Capability Assessment

The Center for Care Innovations (CCI) developed this tool to address a potential gap around defining and assessing analytics capability in health centers, as well as to provide education on some of the complexity and nuance of working with data and building a data-driven culture.