Evidence map›Paper›PMID 34192063›Full record

ArticleJournal of clinical and translational science2021

Research informatics and the COVID-19 pandemic: Challenges, innovations, lessons learned, and recommendations.

Richard J Bookman, James J Cimino, Christopher A Harle, Rhonda G Kost, Sean Mooney, Emily Pfaff, Svetlana Rojevsky, Jonathan N Tobin, Adam Wilcox, Nick F Tsinoremas

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 22% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023
    Review
  7. Review
  8. Review
  9. Conducting clinical research in the era of the COVID-19 pandemic: Challenges and lessons for Speech-Language Pathology and Audiology research.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2022
    Review
  10. Article
  11. Review
  12. 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

10 authors at 8 institutions in 1 country.

Richard J BookmanDepartment of Molecular and Cell Pharmacology, Clinical and Translational Science Institute, University of Miami, Miami, FL, USA.
James J CiminoInformatics Institute, Center for Clinical and Translational Science, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID https://orcid.org/0000-0003-4101-1622
Christopher A HarleDepartment of Health Outcomes and Biomedical Informatics, Clinical and Translational Science Institute, University of Florida, Gainesville, FL, USA.
Rhonda G KostCenter for Clinical and Translational Science, the Rockefeller University, New York, NY, USA.
Sean MooneyInstitute for Translational Health Sciences, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0003-2654-0833
Emily PfaffDepartment of Medicine, North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Svetlana RojevskyClinical and Translational Institute, Tufts Medical Center, Boston, USA.
Jonathan N TobinClinical Directors Network (CDN), the Rockefeller University Center for Clinical and Translational Science, New York, NY, USA.
Adam WilcoxDepartment of Biomedical Informatics and Medical Education, Institute for Translational Health Sciences, University of Washington, Seattle, WA, USA.
Nick F TsinoremasDepartment of Biochemistry and Molecular Biology, Clinical and Translational Science Institute, University of Miami, Miami, FL, USA.ORCID https://orcid.org/0000-0002-8440-4402
University of Miami · USUniversity of Washington · USClinical Directors Network · USRockefeller University · USTufts Medical Center · USUniversity of Alabama at Birmingham · USUniversity of Florida · USUniversity of North Carolina at Chapel Hill · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
CTSA Coordinating Center for Leading Innovation and Collaboration (CLIC)U24TR002260 · NCATS · UNIVERSITY OF ROCHESTER · PI OSSIP, DEBORAH J, ZAND, MARTIN S · 2017 to 2021
$19.0M
Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
NCATS NIH HHS U24 TR002260NCATS NIH HHS UL1 TR000460NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1 TR001866NCATS NIH HHS UL1 TR002319NCATS NIH HHS UL1 TR002489NCATS NIH HHS UL1 TR002544NCATS NIH HHS UL1 TR002736NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

The recipients of NIH's Clinical and Translational Science Awards (CTSA) have worked for over a decade to build informatics infrastructure in support of clinical and translational research. This infrastructure has proved invaluable for supporting responses to the current COVID-19 pandemic through direct patient care, clinical decision support, training researchers and practitioners, as well as public health surveillance and clinical research to levels that could not have been accomplished without the years of ground-laying work by the CTSAs. In this paper, we provide a perspective on our COVID-19 work and present relevant results of a survey of CTSA sites to broaden our understanding of the key features of their informatics programs, the informatics-related challenges they have experienced under COVID-19, and some of the innovations and solutions they developed in response to the pandemic. Responses demonstrated increased reliance by healthcare providers and researchers on access to electronic health record (EHR) data, both for local needs and for sharing with other institutions and national consortia. The initial work of the CTSAs on data capture, standards, interchange, and sharing policies all contributed to solutions, best illustrated by the creation, in record time, of a national clinical data repository in the National COVID-19 Cohort Collaborative (N3C). The survey data support seven recommendations for areas of informatics and public health investment and further study to support clinical and translational research in the post-COVID-19 era.

Indexed as

COVID-19CTSAinformaticsN3Cresearch

Identifiers

PMID34192063
PMCPMC8209435
OpenAlexW3137801707

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.