title: A Modular Architecture for Electronic Health Record-Driven Phenotyping.
abstract: Increasing interest in and experience with electronic health record (EHR)-driven phenotyping has yielded multiple challenges that are at present only partially addressed. Many solutions require the adoption of a single software platform, often with an additional cost of mapping existing patient and phenotypic data to multiple representations. We propose a set of guiding design principles and a modular software architecture to bridge the gap to a standardized phenotype representation, dissemination and execution. Ongoing development leveraging this proposed architecture has shown its ability to address existing limitations.
authors: Northwestern University, Chicago, IL.
authors: Luke V
authors: LV
authors: Rasmussen
authors: Mayo Clinic, Rochester, MN.
authors: Richard C
authors: RC
authors: Kiefer
authors: Vanderbilt University, Nashville, TN.
authors: Huan
authors: H
authors: Mo
authors: Vanderbilt University, Nashville, TN.
authors: Peter
authors: P
authors: Speltz
authors: NorthShore University HealthSystem, Evanston, IL.
authors: William K
authors: WK
authors: Thompson
authors: Mayo Clinic, Rochester, MN.
authors: Guoqian
authors: G
authors: Jiang
authors: Northwestern University, Chicago, IL.
authors: Jennifer A
authors: JA
authors: Pacheco
authors: Northwestern University, Chicago, IL.
authors: Jie
authors: J
authors: Xu
authors: University of Maryland Baltimore County, Baltimore, MD.
authors: Qian
authors: Q
authors: Zhu
authors: Vanderbilt University, Nashville, TN.
authors: Joshua C
authors: JC
authors: Denny
authors: Northwestern University, Chicago, IL.
authors: Enid
authors: E
authors: Montague
authors: Mayo Clinic, Rochester, MN.
authors: Jyotishman
authors: J
authors: Pathak