title: A Prototype for Executable and Portable Electronic Clinical Quality Measures Using the KNIME Analytics Platform.
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.
authors: Vanderbilt University, Nashville, TN.
authors: Huan
authors: H
authors: Mo
authors: Northwestern University, Chicago, IL.
authors: Jennifer A
authors: JA
authors: Pacheco
authors: Northwestern University, Chicago, IL.
authors: Luke V
authors: LV
authors: Rasmussen
authors: Vanderbilt University, Nashville, TN.
authors: Peter
authors: P
authors: Speltz
authors: Mayo Clinic, Rochester, MN.
authors: Jyotishman
authors: J
authors: Pathak
authors: Vanderbilt University, Nashville, TN.
authors: Joshua C
authors: JC
authors: Denny
authors: NorthShore University HealthSystem, Evanston, IL.
authors: William K
authors: WK
authors: Thompson