An LLM-Based Visualization and Analysis Aid for a Secondary Use Clinical Data Platform
Standard
An LLM-Based Visualization and Analysis Aid for a Secondary Use Clinical Data Platform. / Spiegel, Sören; Wendt, Thore; Gundler, Christopher; Ückert, Frank; Riemann, Layla Tabea.
In: Stud Health Technol Inform, Vol. 316, 22.08.2024, p. 1617-1621.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - An LLM-Based Visualization and Analysis Aid for a Secondary Use Clinical Data Platform
AU - Spiegel, Sören
AU - Wendt, Thore
AU - Gundler, Christopher
AU - Ückert, Frank
AU - Riemann, Layla Tabea
PY - 2024/8/22
Y1 - 2024/8/22
N2 - This work introduces a novel approach to facilitate clinical research on secondary clinical data by integrating an LLM-based chatbot within a specialized platform called data hotel. The platform is designed to empower clinical researchers within our institution by enabling the generation of research hypotheses from secondary use patient data sources. Our focus in this work is on the deployment and functionality of the LLM-based chatbot within the data hotel ecosystem. The aim is to aid medical experts in visualizing and analyzing data sourced from the platform but also to enable the seamless storage of the generated code, enhancing the efficiency and reproducibility of the research process. This integration represents a significant advancement in leveraging LLM capabilities to enhance the utility and accessibility of clinical research platforms.
AB - This work introduces a novel approach to facilitate clinical research on secondary clinical data by integrating an LLM-based chatbot within a specialized platform called data hotel. The platform is designed to empower clinical researchers within our institution by enabling the generation of research hypotheses from secondary use patient data sources. Our focus in this work is on the deployment and functionality of the LLM-based chatbot within the data hotel ecosystem. The aim is to aid medical experts in visualizing and analyzing data sourced from the platform but also to enable the seamless storage of the generated code, enhancing the efficiency and reproducibility of the research process. This integration represents a significant advancement in leveraging LLM capabilities to enhance the utility and accessibility of clinical research platforms.
KW - Humans
KW - Software
KW - Electronic Health Records
KW - Biomedical Research
KW - Information Storage and Retrieval/methods
KW - User-Computer Interface
U2 - 10.3233/SHTI240733
DO - 10.3233/SHTI240733
M3 - SCORING: Journal article
C2 - 39176520
VL - 316
SP - 1617
EP - 1621
ER -