Work

A Modular Architecture for Electronic Health Record-Driven Phenotyping.

Year: 2015

Type: article

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.

Source: Europe PMC (PubMed Central)

Authors: Luke V Rasmussen, Richard C Kiefer, Huan Mo, Peter Speltz, William K Thompson, Guoqian Jiang, Jennifer A Pacheco, Jie Xu, Qian Zhu, Joshua C Denny, Enid Montague, Jyotishman Pathak

Institutions: Northwestern University, Mayo Clinic, Vanderbilt University, Endeavor Health, University of Maryland, Baltimore County

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Human Genome Research Institute, National Institute of General Medical Sciences

Awards: EHR-based Genomic Discovery and Implementation, National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms, Vanderbilt Genome Electronic Records Project, A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE Experience

OpenAlex ID: W1573988226

FWCI: 5.446

Cites: 16

Cited by: 20

Related to: 10