Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Jonas Antonio Cittadino; Pia Traulsen; Teresa Schmahl; Larisa Wewetzer; Julia Cummerow; Kristina Flägel; Christoph Strumann; Katja Götz; Jost Steinhäuser

doi:10.2196/77707

Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

Jonas Antonio Cittadino, Pia Traulsen, Teresa Schmahl, Larisa Wewetzer, Julia Cummerow, Kristina Flägel, Christoph Strumann, Katja Götz, Jost Steinhäuser

Institute of Family Medicine

Original language	English
Journal	JMIR Formative Research
DOIs	https://doi.org/10.2196/77707
Publication status	Published - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.2196/77707

Cite this

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title = "Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study",

author = "Cittadino, \{Jonas Antonio\} and Pia Traulsen and Teresa Schmahl and Larisa Wewetzer and Julia Cummerow and Kristina Fl{\"a}gel and Christoph Strumann and Katja G{\"o}tz and Jost Steinh{\"a}user",

year = "2025",

doi = "10.2196/77707",

language = "English",

journal = "JMIR Formative Research",

issn = "2561-326X",

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TY - JOUR

T1 - Information Extraction of Doctoral Theses Using Two Different Large Language Models vs Health Services Researchers: Development and Usability Study

AU - Cittadino, Jonas Antonio

AU - Traulsen, Pia

AU - Schmahl, Teresa

AU - Wewetzer, Larisa

AU - Cummerow, Julia

AU - Flägel, Kristina

AU - Strumann, Christoph

AU - Götz, Katja

AU - Steinhäuser, Jost

PY - 2025

Y1 - 2025

U2 - 10.2196/77707

DO - 10.2196/77707

M3 - Journal articles

SN - 2561-326X

JO - JMIR Formative Research

JF - JMIR Formative Research

ER -