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AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:127-31. eCollection 2015.

A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.

Author information

1
Vanderbilt University, Nashville, TN.
2
Northwestern University, Chicago, IL.
3
Mayo Clinic, Rochester, MN.
4
NorthShore University HealthSystem, Evanston, IL.

Abstract

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, we 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, we implemented eCQM CMS30 (titled: Statin Prescribed at Discharge) 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. We successfully executed the KNIME implementation of CMS30 using data from the Vanderbilt University and Northwestern University EHR systems.

PMID:
26306254
PMCID:
PMC4525225

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