🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

David Chartash

Veterans Health Administration

ORCID: 0000-0002-0265-330X

Also affiliated with Yale University, VA Connecticut Healthcare System, Yale New Haven Health System, Department of Veterans Affairs

MedicineHealth ProfessionsComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.421Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Computational phenotypes for patients with opioid-related disorders presenting to the emergency department

PLoS ONE(2023)10.1371/journal.pone.0291572
Top 44%
0.421DataRank
Top 44%8 citations

Aidan Gilson, Wade L. Schulz, Kevin Lopez, Patrick Young, Sameer Pandya +5 more

Papers

Driven by 8 papers — median percentile 56. Top paper: “The Role of Large Language Models in Medical Education: Applications and Implications”.

The Role of Large Language Models in Medical Education: Applications and Implications

JMIR Medical Education(2023)10.2196/50945
N/A
0.819DataRank · unranked
234 citations

Anne Elizabeth Sidamon‐Eristoff, Aidan Gilson, David Chartash, Conrad Safranek

Computational phenotypes for patients with opioid-related disorders presenting to the emergency department

PLoS ONE(2023)10.1371/journal.pone.0291572
Top 44%
0.421DataRank
Top 44%8 citations

Aidan Gilson, Wade L. Schulz, Kevin Lopez, Patrick Young, Sameer Pandya +5 more

Predicting relations between SOAP note sections: The value of incorporating a clinical information model

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104360
N/A
0DataRank · unranked
7 citations

Aidan Gilson, Kevin Lopez, Ling Chi, Richard A. Taylor, David Chartash +1 more

Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development

Journal of the American College of Emergency Physicians Open(2024)10.1002/emp2.13133
N/A
0DataRank · unranked
16 citations

Thomas Huang, D. Wright, Catherine X. Wright, Vimig Socrates, Rohit B. Sangal +4 more

Automated computation of the HEART score with the GPT-4 large language model

The American Journal of Emergency Medicine(2025)10.1016/j.ajem.2025.03.065
N/A
0DataRank · unranked
8 citations

Vimig Socrates, Thomas Huang, Conrad Safranek, Rohit B. Sangal, Monisha Dilip +8 more

Reflections on the Documentation Burden Reduction AMIA Plenary Session through the Lens of 25 × 5

Applied Clinical Informatics(2022)10.1055/a-1976-2052
N/A
0DataRank · unranked
15 citations

Elizabeth A. Sloss, David Chartash, Sarah Corley, Rebecca G. Mishuris, S. Trent Rosenbloom +2 more

Harnessing Large Language Models to Promote Attainment of ACGME Competencies in Child Psychiatry

JAACAP Connect(2025)10.62414/001c.141397
N/A
0DataRank · unranked
0 citations

Conrad Safranek, Andrés Martin, David Chartash, Anne Elizabeth Sidamon‐Eristoff

How Does ChatGPT Perform on the Medical Licensing Exams? The Implications of Large Language Models for Medical Education and Knowledge Assessment

medRxiv(2022)10.1101/2022.12.23.22283901
N/A
0DataRank · unranked
173 citations

Conrad Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard A. Taylor +2 more