eCQM Implementation | Joint Commission
Follow us on Twitter Friend us on Facebook Vimeo linkedIn Share with your Friends Print this Page
Monday 2:12 CST, February 19, 2018

Topic Details


Topic Library Item

eCQM Implementation

August 8, 2016

Pioneers in Quality Portal - Articles and Publications

  • Hospitals Expect Challenges In Meeting eCQM Deadline - Information Management - August 1, 2016

    • Despite the optimism displayed by hospital executives, the path to compliance will not be an easy one for hospitals, according to a recently released survey of 319 accredited hospitals. Registration required.

  • Survey looks at hospital readiness to submit eCQMs for inpatient quality reporting - MHA News Now - July 29, 2016

    • About 86% of hospitals expect to submit electronic clinical quality measures by Feb. 28, 2017, according to survey results released recently by The Joint Commission. That’s the deadline for hospitals participating in the Hospital Inpatient Quality Reporting Program to submit four eCQMs for patients discharged in third or fourth quarter 2016.

  • Developing a Data Element Repository to Support EHR-driven Phenotype Algorithm Authoring and Execution. - J Biomed Inform. 2016 Jul 5. pii: S1532-0464(16)30062-4. doi: 10.1016/j.jbi.2016.07.008.

    • The Quality Data Model (QDM) is an information model developed by the National Quality Forum for representing electronic health record (EHR)-based electronic clinical quality measures (eCQMs). In conjunction with the HL7 Health Quality Measures Format (HQMF), QDM contains core elements that make it a promising model for representing EHR-driven phenotype algorithms for clinical research. However, the current QDM specification is available only as descriptive documents suitable for human readability and interpretation, but not for machine consumption. The objective of the present study is to develop and evaluate a data element repository (DER) for providing machine-readable QDM data element service APIs to support phenotype algorithm authoring and execution. 

      Note:  Depending on your organization’s periodical subscription status, a fee may be required to view the full article.

  • A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform. - AMIA Jt Summits Transl Sci Proc.  2015 Mar 25;2015:127-31.

    • Electronic clinical quality measures (eCQMs) based on the Quality Data Model (QDM) cannot currently be executed against non-standardized electronic health record (EHR) data. To address this gap, the author prototyped an implementation of a QDM-based eCQM using KNIME, an open-source platform comprising a wide array of computational workflow tools that are collectively capable of executing QDM-based logic, while also giving users the flexibility to customize mappings from site-specific EHR data. To prototype this capability, eCQM CMS30 (titled: Statin Prescribed at Discharge) was implemented using KNIME. The implementation contains value set modules with connections to the National Library of Medicine’s Value Set Authority Center, QDM Data Elements that can query a local EHR database, and logical and temporal operators. The author successfully executed the KNIME implementation of CMS30 using data from the Vanderbilt University and Northwestern University EHR systems.

      This article is highly technical; however, provides a nice background to the technical aspects of eCQM implementation.