Automated Elicitation of Human and Ecological Health Indicators: An LLM-Based Practical Implementation for One Digital Health.

Abstract

This paper presents a new method for automating the identification of human and ecological health indicators using the One Digital Health framework, which combines One Health and Digital Health principles. By applying mainly Large Language Models, we conduct a systematic literature review on urban freshwater environments. This automation streamlines the process of finding and analyzing relevant research, allowing us to extract vital health indicators related to urban aquatic ecosystems and human wellness. The findings support the OneAquaHealth project's goals, enhancing environmental monitoring and linking human, animal, and environmental health in a digital context.

Department

Description

Provenance

Subjects

Humans, Health Status Indicators, Environmental Health, One Health, Digital Health

Citation

Published Version (Please cite this version)

10.3233/shti251086

Publication Info

Bauberg, Helit, Nimrod Tachnai, Gur Hanan, Dana Nehama, Oscar Tamburis, Stéfan Darmoni, Julien Grosjean, Arriel Benis, et al. (2025). Automated Elicitation of Human and Ecological Health Indicators: An LLM-Based Practical Implementation for One Digital Health. Studies in health technology and informatics, 329. pp. 1488–1492. 10.3233/shti251086 Retrieved from https://hdl.handle.net/10161/33161.

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Scholars@Duke

Benis

Arriel Benis

Adjunct Associate Professor in the Department of Biomedical Engineering

Dr. Arriel Benis is a researcher and educator working at the intersection of medical informatics, digital health, and artificial intelligence, advancing health systems and biomedical engineering innovation. His work leverages AI, data science, and knowledge management to improve health-related decision-making at the individual, population, and public health levels.

His research focuses on developing data-driven healthcare solutions that enhance patient care, optimize clinical processes, and promote sustainable systems. Dr. Benis has engineered (a) clinical decision support systems with direct patient and healthcare partitioners impact such as ADHD, PTSD, and diabetes patient management and health communication, (b) MIMO -the Medical Informatics and Digital Health Multilingual Ontology- integrating more than 3500 terms and concepts across 30+ languages, actively deployed in healthcare organizations for AI-powered training and international projects support, (c) smart home and smart city health monitoring approach from a One Health viewpoint. Dr. Benis is a pioneer of the One Digital Health framework, which strategically links digital health innovation with environmental monitoring.

His past academic positions include serving as a department head and track director in biomedical and health informatics. He holds various leadership roles in the international medical informatics community, is a fellow of the International Academy for Health Sciences Informatics, and is the Editor-in-Chief of JMIR Medical Informatics. Dr. Benis is committed to training the next generation of innovators in digital health and medical informatics.


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