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@article{Chapman:2021,
author = {Chapman, M and Rasmussen, LV and Pacheco, JA and Curcin, V},
journal = {AMIA Jt Summits Transl Sci Proc},
pages = {142--151},
title = {Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions.},
url = {https://www.ncbi.nlm.nih.gov/pubmed/34457128},
volume = {2021},
year = {2021}
}

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TY  - JOUR
AB  - Phenotyping is an effective way to identify cohorts of patients with particular characteristics within a population. In order to enhance the portability of a phenotype definition across institutions, it is often defined abstractly, with implementers expected to realise the phenotype computationally before executing it against a dataset. However, un-clear definitions, with little information about how best to implement the definition in practice, hinder this process. To address this issue, we propose a new multi-layer, workflow-based model for defining phenotypes, and a novel authoring architecture, Phenoflow, that supports the development of these structured definitions and their realisation as computable phenotypes. To evaluate our model, we determine its impact on the portability of both code-based (COVID-19) and logic-based (diabetes) definitions, in the context of key datasets, including 26,406 patients at North-western University. Our approach is shown to ensure the portability of phenotype definitions and thus contributes to the transparency of resulting studies.
AU  - Chapman,M
AU  - Rasmussen,LV
AU  - Pacheco,JA
AU  - Curcin,V
EP  - 151
PY  - 2021///
SP  - 142
TI  - Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions.
T2  - AMIA Jt Summits Transl Sci Proc
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34457128
VL  - 2021
ER  -

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