Evidence map›Paper›PMID 37555837›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C).

Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, Daniel Harris, Ramakanth Kavuluru, Mei Liu and 18 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Assertion Detection in Clinical Natural Language Processing using Large Language Models.Proceedings. IEEE International Conference on Healthcare Informatics · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

28 authors.

Sijia LiuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9763-1164
Andrew WenDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9090-8028
Liwei WangDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0001-9970-8604
Huan HeDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-1312-4195
Sunyang FuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-1691-5179
Robert MillerTufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts, USA.
Andrew WilliamsTufts Clinical and Translational Science Institute, Tufts Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-0692-412X
Daniel HarrisDepartment of Internal Medicine, University of Kentucky, Lexington, Kentucky, USA.ORCID 0000-0001-9139-3433
Ramakanth KavuluruDepartment of Internal Medicine, University of Kentucky, Lexington, Kentucky, USA.ORCID 0000-0003-1238-9378
Mei LiuDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-8036-2110
Noor Abu-El-RubDepartment of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Dalton SchutteDepartment of Pharmaceutical Care & Health Systems, University of Minnesota at Twin Cities, Minneapolis, Minnesota, USA.
Rui ZhangDepartment of Pharmaceutical Care & Health Systems, University of Minnesota at Twin Cities, Minneapolis, Minnesota, USA.ORCID 0000-0001-8258-3585
Masoud RouhizadehDepartment of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-9006-6112
John D OsborneDepartment of Computer Science, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-0851-1150
Yongqun HeDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0001-9189-9661
Umit TopalogluDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0002-3241-8773
Stephanie S HongDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Joel H SaltzDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0002-3451-2165
Thomas SchaffterSage Bionetwork, Seattle, Washington, USA.ORCID 0000-0002-8242-9462
Emily PfaffDepartment of Medicine, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6840-9756
Christopher G ChuteDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0001-5437-2545
Tim DuongDepartment of Radiology, Albert Einstein College of Medicine, Bronx, New York, USA.
Melissa A HaendelCenter for Health AI, University of Colorado Anschutz Medical Campus, Denver, Colorado, USA.ORCID 0000-0001-9114-8737
Rafael FuentesAlex Informatics, North Bethesda, Maryland, USA.
Peter SzolovitsDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-8411-6403
Hua XuSchool of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0002-5274-4672
Hongfang LiuDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.ORCID 0000-0003-2570-3741

Funding

CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
Einstein-Montefiore Clinical and Translational Science Award HubUM1TR004400 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Jessica Kahn, Mimi Y Kim · 2023 to 2026
$17.3M
Open Health Natural Language Processing CollaboratoryU01TR002062 · NCATS · MAYO CLINIC ROCHESTER · PI JIANG, XIAOQIAN, LIU, HONGFANG · 2017 to 2021
$7.6M
Methods and Health Informatics CoreP30AR072583 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JEFFREY R. CURTIS · 2020 to 2026
$5.7M
Advanced End-to-End Relation Extraction with Deep Neural NetworksR01LM013240 · NLM · UNIVERSITY OF KENTUCKY · PI KAVULURU, VENKATA NAGA RAMAKANTH · 2020 to 2023
$1.4M
Gates FoundationNCATS NIH HHS U01 TR002062NCATS NIH HHS U24 TR002306NCATS NIH HHS UM1 TR004400NIAMS NIH HHS P30 AR072583NIH HHS U24 TR002306NLM NIH HHS R01 LM013240
6 · The paper itself

Abstract

Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational research community remains hindered by process heterogeneity and human factor variations. Concurrently, these factors also dramatically increase the difficulty in developing NLP models in multi-site settings, which is necessary for algorithm robustness and generalizability. Here, we reported on our experience developing an NLP solution for Coronavirus Disease 2019 (COVID-19) signs and symptom extraction in an open NLP framework from a subset of sites participating in the National COVID Cohort (N3C). We then empirically highlight the benefits of multi-site data for both symbolic and statistical methods, as well as highlight the need for federated annotation and evaluation to resolve several pitfalls encountered in the course of these efforts.

Indexed as

COVID-19Natural Language ProcessingAlgorithmsElectronic Health RecordsHumanselectronic healthy recordsfederated learningmulti-institutional data annotationnatural language processing

Identifiers

PMID37555837
PMCPMC10654844

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.