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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
EHR Optimization Series: Part One of Three

EHR Optimization Series: Part One of Three

Including Performance Measure Crosswalk and Data Definition Worksheet

The first of a three-part EHR Optimization series focused on establishing goals and expectations for optimizing EHR utilization and sharing proven strategy/tools for optimizing EHR utilization, including slides and related tools. 

  • EHR Optimization Session 1 Slides
    • From May 2017 Learning Session; agenda includes:
      • Introductions
      • EHR Optimization Defined
      • Identifying “Waste”
      • Data Life Cycle
      • Strategies for EHR Optimization
      • Closing/ Discussions/ Sharing
  • eCQM Crosswalk for UDS, MIPS, PCMH, etc.: Quality Measure reference tool to understand relationship between eCQM, PCMH, Meaningful Use and UDS data measures
    • The CMS eCQI Resource Center is the definitive eCQM resource. This tool provides a quick crosswalk to the eCQM measure definitions and guidance to which of the eCQM measures are reported for UDS 2019, MIPS, CPC+, and NCQA PCMH. *Updated in March 2020*
  • Performance Measure Data Definition Worksheet: Organizational tool to confirm eCQM measure specifications match EHR vendor logic
    • ONC EHR Certification criteria means that vendors use eCQMs’ (electronic Clinical Quality Measures’) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of vendor. In practice, however, it is important to confirm the vendor’s logic is consistent with the health center’s definition and workflows. This tool supports alignment of the health center’s data definition with the vendor’s reporting logic.

Download each of these resources below, in the Documents to Download section.

Updated eCQM Crosswalk can be accessed here.

Access part two and three of this series as well!

Documents to download

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Intended AudienceClinical Quality Team members, Health Center IT and Quality Staff

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.

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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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