Manual digital e agente conversacional baseado em Inteligência Artificial para apoiar equipes de enfermagem no teleatendimento a pacientes renais crônicos

Abstract

Chronic Kidney Disease (CKD) is a major public health issue that requires continuous monitoring and specialized support. In this context, digital technologies emerge as strategic tools to optimize care, particularly in telehealth settings. This study aimed to develop a digital manual and an Artificial Intelligence (AI)-based conversational agent to support nursing teams during remote care of patients with CKD. The research was conducted within the telehealth center of a nationwide private health insurance provider, involving 10 nurses with at least one year of telecare experience. The development process comprised a literature review, content selection and organization, creation of the educational manual using Canva, and its availability in a Virtual Learning Environment (VLE). In parallel, the conversational agent was built in five stages, employing the Retrieval Augmented Generation (RAG) technique. Validation was carried out using a structured questionnaire via Google Forms, assessing user satisfaction, clarity of responses, practical applicability, and motivational aspects. Findings indicated that the tools developed facilitated access to evidence-based information and supported nursing decision-making in telecare. However, the study highlighted the need for a formal validation process of the digital manual with experts, as well as further studies to deepen the evaluation of the conversational agent’s impact on care quality. In conclusion, the digital manual and conversational agent represent a significant advancement in nursing assistance for CKD patients, strengthening professional practice and contributing to the modernization of healthcare services. Continued research in this field may consolidate the use of innovative technologies as strategic tools for nursing support and for enhancing the quality of patient care.