Evidence map›Paper›PMID 41031081›Full record

ArticleArXiv2024

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science.

Betina Idnay, Zihan Xu, William G Adams, Mohammad Adibuzzaman, Nicholas R Anderson, Neil Bahroos, Douglas S Bell, Cody Bumgardner, Thomas Campion, Mario Castro and 47 more

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

5 · Who and what money

Authors and funding

57 authors.

Betina IdnayDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
Zihan XuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
William G AdamsDepartment of Pediatrics, Boston Medical Center, Boston, MA, USA; Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA.
Mohammad AdibuzzamanOregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR, USA.
Nicholas R AndersonDepartment of Public Health Sciences, University of California, Davis, Davis, CA, USA.
Neil BahroosKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Douglas S BellDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Cody BumgardnerDepartment of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, USA.
Thomas CampionDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Mario CastroDivision of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
James J CiminoDepartment of Biomedical Informatics and Data Science, Heersink School of Medicine, University of Alabama, Birmingham, AL, USA.
I Glenn CohenHarvard Law School, Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, Harvard University, Cambridge, MA, USA.
David DorrOregon Clinical and Translational Research Institute, Oregon Health and Science University, Portland, OR, USA.
Peter L ElkinDepartment of Biomedical Informatics, University at Buffalo, Buffalo, NY, USA.
Jungwei W FanCenter for Clinical and Translational Science, Mayo Clinic, Rochester, MN, USA.
Todd FerrisTechnology and Digital Solutions, Stanford Medicine, Stanford University, Stanford, CA, USA.
David J ForanCenter for Biomedical Informatics, Rutgers Cancer Institute, New Brunswick, NJ, USA.
David HanauerDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
Mike HogarthAltman Clinical and Translational Research Institute (ACTRI), University of California San Diego, La Jolla, CA, United States.
Kun HuangDepartment of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA.
Jayashree Kalpathy-CramerDivision of Artificial Medical Intelligence in Ophthalmology, University of Colorado, Aurora, CO, USA.
Manoj KandpalCenter for Clinical and Translational Science, Rockefeller University Hospital, Rockefeller University, New York, NY, USA.
Niranjan S KarnikAI.Health4All Center, Center for Clinical & Translational Science, and Department of Psychiatry, University of Illinois Chicago, Chicago, IL, USA.
Avnish KatochDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Albert M LaiDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Christophe G LambertDivision of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA.
Lang LiDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
Christopher LindsellDuke Clinical Research Institute, Duke University, Durham, NC, USA.
Jinze LiuDepartment of Population Health, Virginia Commonwealth University, Richmond, VA, USA.
Zhiyong LuDivision of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
Yuan LuoDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Peter McGarveyGeorgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA.
Eneida A MendoncaDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Parsa MirhajiInstitute for Clinical Translational Research, Albert Einstein College of Medicine, New York, NY, USA.
Shawn MurphyDepartment of Neurology, Mass General Brigham, Somerville, MA, USA.
John D OsborneDepartment of Medicine, University of Alabama, Birmingham, AL, USA.
Ioannis C PaschalidisCollege of Engineering and Faculty of Computing & Data Sciences, Boston University, Boston, MA, USA.
Paul A HarrisDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Fred PriorDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Nicholas J ShaheenDivision of Gastroenterology and Hepatology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Nawar SharaGeorgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA.
Ida SimDepartment of Medicine, University of California, San Francisco, San Francisco, CA, USA.
Umberto TachinardiDepartment of Biostatistics, Health Informatics and Data Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Lemuel R WaitmanDepartment of Biomedical Informatics, Biostatistics, and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO, USA.
Rosalind J WrightDepartment of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Adrian H ZaiDivision of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, USA.
Kai ZhengDepartment of Informatics, University of California, Irvine, Irvine, CA, USA.
Sandra Soo-Jin LeeDepartment of Medical Humanities and Ethics, Columbia University, New York, NY, USA.
Bradley A MalinDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Karthik NatarajanDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
W Nicholson PriceMichigan Law School, University of Michigan, Ann Arbor, MI, USA.
Rui ZhangDivision of Computational Health Sciences, Medical School, University of Minnesota, Minneapolis, MN, USA.
Yiye ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Hua XuDepartment of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, CT, USA.
Jiang BianDepartment of Neurology and McKnight Brain Institute, College of Medicine, University of Florida, Gainesville, FL, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
Yifan PengDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Michigan Institute for Clinical and Health Research (MICHR)UM1TR004404 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Julie C Lumeng · 2023 to 2026
$39.8M
UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
NJ ACTS: A Platform for Translational Science in New JerseyUM1TR004789 · NCATS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Reynold Alexander Panettieri · 2024 to 2026
$16.8M
Expanding Translational Science in ArkansasUM1TR004909 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI Laura P James · 2024 to 2026
$11.7M
National Library of Medicine Conference 2022T15LM012495 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN · 2017 to 2026
$4.3M
Buffalo Research Innovation in Genomic and Healthcare Technology (BRIGHT) Short-Term Training and EducationR25LM014213 · NLM · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI PETER L. ELKIN, RAM SAMUDRALA · 2022 to 2026
$668k
Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use DisordersR21AA026954 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ELKIN, PETER L., LEONARD, KENNETH E · 2018 to 2019
$386k
NCATS NIH HHS UL1 TR001412NCATS NIH HHS UL1 TR001449NCATS NIH HHS UL1 TR001866NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NCATS NIH HHS UM1 TR004404NCATS NIH HHS UM1 TR004789NCATS NIH HHS UM1 TR004909NIAAA NIH HHS R21 AA026954NLM NIH HHS R25 LM014213NLM NIH HHS T15 LM007079NLM NIH HHS T15 LM012495
6 · The paper itself

Abstract

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) Program led by the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH) at the United States. With the rapid advancement of GenAI technologies, including large language models (LLMs), healthcare institutions face unprecedented opportunities and challenges. This research explores the current status of GenAI integration, focusing on stakeholder roles, governance structures, and ethical considerations by administering a survey among leaders of health institutions (i.e., representing academic medical centers and health systems) to assess the institutional readiness and approach towards GenAI adoption. Key findings indicate a diverse range of institutional strategies, with most organizations in the experimental phase of GenAI deployment. The study highlights significant variations in governance models, with a strong preference for centralized decision-making but notable gaps in workforce training and ethical oversight. Moreover, the results underscore the need for a more coordinated approach to GenAI governance, emphasizing collaboration among senior leaders, clinicians, information technology staff, and researchers. Our analysis also reveals concerns regarding GenAI bias, data security, and stakeholder trust, which must be addressed to ensure the ethical and effective implementation of GenAI technologies. This study offers valuable insights into the challenges and opportunities of GenAI integration in healthcare, providing a roadmap for institutions aiming to leverage GenAI for improved quality of care and operational efficiency.

Indexed as

Clinical and Translational ResearchGenAILLM

Identifiers

PMID41031081
PMCPMC12478420

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.