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0038/2026 - DEVELOPMENT AND VALIDATION OF A CHATBOT FOR MANAGING LEPROSY LESIONS
DESENVOLVIMENTO E VALIDAÇÃO DE CHATBOT PARA ABORDAGEM DE LESÕES DA HANSENÍASE

Author:

• Rosa Maria Grangeiro Martins - Martins, RMG - <rosa.martins@aluno.uece.br>
ORCID: https://orcid.org/0000-0002-2516-0719

Co-author(s):

• Dailon de Araújo Alves - Alves, DA - <dailon.araujo12@gmail.com>
ORCID: https://orcid.org/0000-0001-8294-298X
• Sabrina Alaide Amorim Alves - Alves, SAA - <sabrina1995amorim@gmail.com>
ORCID: https://orcid.org/0000-0001-5831-4668
• Francisca Juliana Grangeiro Martins - Martins, FJG - <ju_grangeiro@hotmail.com>
ORCID: https://orcid.org/0009-0006-7502-0067
• Luiz Gustavo Alves Lima - Lima, LGA - <luizgustavoallima@gmail.com>
ORCID: https://orcid.org/0009-0007-8580-5463
• Maria Lúcia Duarte Pereira - Pereira, MLD - <lucia029@gmail.com>
ORCID: https://orcid.org/0000-0003-0079-5248


Abstract:

The objective was to develop, validate, and test the usability of a chatbot as a support tool for healthcare professionals in the management of leprosy lesions. This methodological study involved content and appearance validation conducted by ten healthcare professionals and seven Information and Communication Technology (ICT) specialists, respectively. The study followed the recommendations of the Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) and the principles of the Object-Oriented Hypermedia Design Method (OHDM), encompassing the phases of textual corpus development (modeling), design of the chatbot’s structure and operation (navigational design and abstract interface), and implementation, including validation procedures and usability testing. The ChatLinoHans chatbot achieved satisfactory results across all validation assessments. Expert evaluation yielded a Content Validity Index (CVI) of 0.98, ensuring the credibility and legitimacy of the chatbot. Appearance validation performed by technical judges resulted in agreement rates ranging from 85.7% to 100%, confirming its adequacy in terms of appearance. Usability testing scores ranged from 77.5 to 100, indicating above-average performance and supporting its potential usefulness as a tool to assist healthcare professionals in the clinical management of leprosy lesions.

Keywords:

Leprosy, Technology, Artificial intelligence

Content:

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Cite

Martins, RMG, Alves, DA, Alves, SAA, Martins, FJG, Lima, LGA, Pereira, MLD. DEVELOPMENT AND VALIDATION OF A CHATBOT FOR MANAGING LEPROSY LESIONS. Cien Saude Colet [periódico na internet] (2026/Feb). [Citado em 14/08/2026]. Está disponível em: http://www.cienciaesaudecoletiva.com.br/en/articles/development-and-validation-of-a-chatbot-for-managing-leprosy-lesions/19936



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