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Affiliation

Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal

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1 Papers

Innovation in Geriatric Care: An AI Assistant with LLM Integration Based on Health Guidelines

Topics: ICT, Ageing and Disability; Medical Informatics; Medical Artificial Intelligence; Large Language Models in Medicine

Authors: Juliana Basulo-Ribeiro ¹ , Nádia Matos ^{2

;

3} , Sabrina Araujo ^{2

;

3

;

4} , Nuno Capela ^{2

;

3} , Francisco Bischoff ^{2

;

4

;

5} , Leonor Teixeira ¹ and Ricardo Cruz-Correia ^{2

;

4

;

5}

Affiliations: ¹ Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), Institute of Electronics and Informatics Engineering of Aveiro (IEETA), Intelligent Systems Associate Laboratory (LASI), University of Aveiro, Aveiro, Portugal , ² Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal , ³ Health Data Science Ph.D. Program, Faculty of Medicine of the University of Porto, Porto, Portugal , ⁴ CINTESIS - Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal , ⁵ VirtualCare, Portugal

Digital Object Identifier: 10.5220/0013096100003911

Proceedings of HEALTHINF 2025, ISBN: 978-989-758-731-3

Quick Abstract

With the advance of artificial intelligence and natural language processing technology, a new tool is standing out in the field of understanding and generating natural language in a sophisticated way: the Large Language Model (LLM). According to several authors, LLMs can be used for various types of medical cases, providing access to different sources of information, and have opened up countless opportunities in the healthcare sector. This work aims to share the lessons learned during the process of developing an LLM-based assistant aimed at specific pathologies that are more prevalent in the elderly in order to support caregivers, whether they are private individuals, home care organizations, nursing homes or others. This study has a significant potential impact on the community by providing access to detailed information on developing an LLM-based assistant.