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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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Resource Overview

The process of finding and hiring the best-qualified candidate for a Quality and/or Health IT job in your health center is time-intensive and challenging. Having job vacancies or recruiting the wrong person can cost the organization in terms of real money, time spent, morale, and productivity. Successful hiring requires refining the recruitment process, which includes analyzing the requirements of a job, attracting employees to that job, screening and selecting applicants, and hiring the new employee to the organization.

This section includes resources to help you define and refine your recruiting methods.  These are tools that have been tested by health centers in the field and are proven to work. These resources reflect the combined experience of several successful health centers around the country.

Also available are templates for Health IT Job Functions and samples of Health IT Job Descriptions.

Health IT Staff Recruitment Tools
Performance Measure Data Definition Worksheet
Molly Rafferty
/ Categories: EHR Selection and Implementation, EHR Implementation, Health IT Enabled QI, Accessing Data for QI, Foundation for HIT Enabled QI, Improving Performance, Communicating with Data, Validating Data Accuracy

Performance Measure Data Definition Worksheet

December 2022

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 Clinical Quality Measure) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of EHR vendor. In practice, however, it is important to confirm that your EHR vendor’s reporting logic is consistent with your health center’s definition and workflows, and vice versa, as outlined in this worksheet.

Download the resource in the Documents to Download Section below.

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Tags: eCQMUDSONCElectronic Clinical Quality Improvementquality improvementToolQuality Improvement ProcessesImproving PerformanceData ReportingdataHealth IT Enabled QIdata-driven quality improvementPCMHQuality ReportseCQMsUDS dataMastering Clinical Measures Badge

Documents to download

Related Resources

Acknowledgements

This resource collection was compiled by the HITEQ staff with portions contributed by Chris Espersen, HITEQ Advisory Committee member and Independent Contractor and Past President of Midwest Clinicians Network; Shane McBride, Independent Contractor and Past Vice President of Quality and Clinical Systems at South End Community Health Center; Chris Grasso, Associate Director for Informatics & Data Services- The Fenway Institute; and Ed Phippen, Principal - Phippen Consulting, LLC.