Evidence map›Paper›PMID 38146986›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Deploying a national clinical text processing infrastructure.

Kimberly F McManus, Johnathon Michael Stringer, Neal Corson, Samah Fodeh, Steven Steinhardt, Forrest L Levin, Asqar S Shotqara, Joseph D'Auria, Elliot M Fielstein, Glenn T Gobbel and 5 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Kimberly F McManusDepartment of Veterans Affairs, Office of the CTO, Washington, DC 20571, United States.ORCID 0000-0002-3970-8204
Johnathon Michael StringerDivision of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94304, United States.
Neal CorsonDepartment of Veterans Affairs, San Diego, CA 92108, United States.
Samah FodehDepartment of Veterans Affairs, West Haven, CT 06516, United States.
Steven SteinhardtEvergreen Design LLC, Guilford, CT 06437, United States.
Forrest L LevinEvergreen Design LLC, Guilford, CT 06437, United States.
Asqar S ShotqaraDepartment of Veterans Affairs, Center for Innovation to Implementation (Ci2i), Palo Alto, CA 94304, United States.
Joseph D'AuriaProduct Engineering, Department of Veterans Affairs, Austin, TX 78741, United States.
Elliot M FielsteinDepartment of Veterans Affairs, Office of Mental Health and Suicide Prevention, Veterans Health Administration, Nashville, TN 37212, United States.
Glenn T GobbelDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.
John ScottDepartment of Veterans Affairs, Clinical Informatics and Data Management Office, Veterans Health Administration, Washington, DC 20571, United States.
Jodie A TraftonDepartment of Veterans Affairs, Office of Mental Health and Suicide Prevention, Program Evaluation Resource Center, Palo Alto, CA 94304, United States.
Tamar H TaddeiDepartment of Veterans Affairs, West Haven, CT 06516, United States.
Joseph ErdosDepartment of Veterans Affairs, West Haven, CT 06516, United States.
Suzanne R TamangDivision of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA 94304, United States.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG059307
6 · The paper itself

Abstract

objectivesClinical text processing offers a promising avenue for improving multiple aspects of healthcare, though operational deployment remains a substantial challenge. This case report details the implementation of a national clinical text processing infrastructure within the Department of Veterans Affairs (VA).

methodsTwo foundational use cases, cancer case management and suicide and overdose prevention, illustrate how text processing can be practically implemented at scale for diverse clinical applications using shared services.

resultsInsights from these use cases underline both commonalities and differences, providing a replicable model for future text processing applications.

conclusionsThis project enables more efficient initiation, testing, and future deployment of text processing models, streamlining the integration of these use cases into healthcare operations. This project implementation is in a large integrated health delivery system in the United States, but we expect the lessons learned to be relevant to any health system, including smaller local and regional health systems in the United States.

Indexed as

SuicideVeteransCase ManagementDelivery of Health CareHumansUnited StatesUnited States Department of Veterans Affairsdelivery of health caremachine learningmental healthnatural language processing

Identifiers

PMID38146986
PMCPMC10873837

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.