Evidence map›Paper›PMID 26306258›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015

A Modular Architecture for Electronic Health Record-Driven Phenotyping.

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 and 2 more

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  2. Article
  3. Design and validation of a FHIR-based EHR-driven phenotyping toolbox.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  4. Article
  5. Article
  6. Developing a portable natural language processing based phenotyping system.BMC medical informatics and decision making · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. High-fidelity phenotyping: richness and freedom from bias.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    Article
  16. Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Luke V RasmussenNorthwestern University, Chicago, IL.
Richard C KieferMayo Clinic, Rochester, MN.
Huan MoVanderbilt University, Nashville, TN.
Peter SpeltzVanderbilt University, Nashville, TN.
William K ThompsonNorthShore University HealthSystem, Evanston, IL.
Guoqian JiangMayo Clinic, Rochester, MN.
Jennifer A PachecoNorthwestern University, Chicago, IL.
Jie XuNorthwestern University, Chicago, IL.
Qian ZhuUniversity of Maryland Baltimore County, Baltimore, MD.
Joshua C DennyVanderbilt University, Nashville, TN.
Enid MontagueNorthwestern University, Chicago, IL.
Jyotishman PathakMayo Clinic, Rochester, MN.

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE ExperienceU01HG006388 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHISHOLM, REX L, SMITH, MAUREEN E · 2011 to 2014
$4.1M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG006388NIGMS NIH HHS R01 GM105688
6 · The paper itself

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.

Identifiers

PMID26306258
PMCPMC4525215

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.