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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
EHR Optimization Series: Part Three of Three

EHR Optimization Series: Part Three of Three

Including slides, Data Dictionary, and Quality Report Inventory

The third 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; objectives include:
      • Understand the role reporting has in EMR optimization
      • Be able to list at least 3 considerations when developing reports to improve EMR utilization and meet the goals of the intended audience
      • Identify at least 2 HITEQ resources for improving reporting effectiveness in facilitating decision-making
      • Be able to discuss the interplay between reporting and data validation
        • Slides are in the Documents to Download section; Recording is available below in the Links section. 
  • Data Dictionary: Organizational tool to catalog your EHR and analytics platform data indicators
    • A Data Dictionary provides a single point of reference for data mapping and interpretation for all of the indicators in your quality reports. Organization of the data definitions in this tool provides a reference for the team of the definitions which impact reports and alerts in the analytics application. That application may be the EHR or an analytics platform that is tied to the EHR. Anyone with questions about where data is being pulled from for any indicator can reference the Data Dictionary without analyst security privileges or expertise within the analytics tools. The Data Dictionary should be curated by analysts and made available on a shared drive or company intranet.
  • Quality Report Inventory: Organizing your quality team with a schedule and map of quality report distribution
    • A Report Inventory is a means to make public all available reports, the schedule for publishing to the organization, and their distribution. It provides a point of reference for all potential report requestors who are looking for data on any metric. The Report Inventory may also include reference to EHR alerts, mappings, and schedules and any supporting EHR or Population Health Management tools that are available to support improvement of each metric. Making this tool available on a shared drive or company intranet provides a point of reference for analysts to direct report requestors prior to acting on any new report request. The Report Inventory is organized by metric, including the denominator and numerator definitions, exclusions, and references to the metric steward which may be internal to the organization or external (e.g. UDS, NQF, etc.). The Report Inventory should be curated by your data analysts in collaboration with the responsible metric stewards within an organization.

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

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

Documents to download

Acknowledgements

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