Résumés
Résumé
La qualité de vie des personnes atteintes de maladies complexes est influencée par leur implication dans la gestion de leur maladie et par leur niveau de compétence en autogestion. Ces personnes peuvent vivre des difficultés pour identifier les ressources éducatives libres d’accès et autres ressources libres utiles pour développer ces compétences. Nous avons mené une revue de littérature narrative dans le but d’identifier les technologies d’intelligence artificielle déjà utilisées dans les dossiers de santé numériques personnels et les enjeux auxquels ces technologies apportent des solutions. Nous avons cherché dans trois bases de données : PubMed, ScienceDirect et Scopus. Les mots clés ont été sélectionnés pour inclure l’intelligence artificielle et les dossiers de santé numériques personnels. Dans les 17 articles repérés, 4 grandes familles de technologies se sont démarquées : l’apprentissage automatique, les systèmes à base de règles, les ontologies et le traitement automatique du langage naturel. Dans la plupart des articles, diverses technologies sont combinées et contribuent à l’apprentissage de l’autogestion de manière complémentaire. Cette revue montre la possibilité d’enrichir la conception des dossiers de santé numériques personnels avec l’intelligence artificielle, et elle s’inscrit dans le cadre du développement de l’environnement numérique SPÉCIAL visant à assurer plus de soutien dans le parcours d’apprentissage de l’autogestion par le patient.
Mots-clés :
- intelligence artificielle,
- dossier de santé numérique personnel,
- environnement numérique d'apprentissage,
- ressources éducatives libres,
- autogestion,
- maladies complexes,
- agentivité
Abstract
The quality of life of individuals with complex conditions is influenced by their involvement in managing their illness and by their level of self-management competence. These patients may have difficulties identifying freely accessible educational resources and other relevant open resources to develop such skills. We carried out a narrative literature review aimed at identifying artificial intelligence technologies used in personal health records and the challenges these technologies help address. Our search was carried out in three databases: PubMed, ScienceDirect, and Scopus. Keywords were selected to include artificial intelligence and personal health records. Among the 17 articles retrieved, four main families of technologies emerged: machine learning, rule-based systems, ontologies, and natural language processing. In most articles, several technologies are combined and contribute complementarily to the learning of self-management. This review highlights the potential to enrich personal digital health records design with artificial intelligence and is part of the development of the SPÉCIAL digital environment, which aims to provide greater support in patients’ self-management learning journey.
Keywords:
- artificial intelligence,
- personal health records,
- digital learning environment,
- open educational resources,
- self-management,
- complex conditions,
- agency
Resumen
La calidad de vida de las personas con enfermedades complejas está influenciada por su implicación en la gestión de su enfermedad y por su nivel de competencias en autogestión. Estas personas pueden experimentar dificultades para identificar recursos educativos de acceso libre y otros recursos abiertos útiles para desarrollar dichas competencias. Realizamos una revisión narrativa de la literatura con el objetivo de identificar las tecnologías de inteligencia artificial que ya se utilizan en las historias clínicas electrónicas personales y los desafíos a los que estas tecnologías aportan soluciones. Buscamos en tres bases de datos: PubMed, ScienceDirect y Scopus. Las palabras clave fueron seleccionadas para incluir la inteligencia artificial y las historias clínicas electrónicas personales. Entre los 17 artículos identificados, destacaron cuatro grandes familias de tecnologías: el aprendizaje automático, los sistemas basados en reglas, las ontologías y el procesamiento del lenguaje natural. En la mayoría de los artículos, se combinan diversas tecnologías que contribuyen de manera complementaria al aprendizaje de la autogestión. Esta revisión muestra la posibilidad de enriquecer el diseño de los registros personales de salud digitales mediante la inteligencia artificial, y se enmarca en el desarrollo del entorno digital SPÉCIAL, cuyo objetivo es ofrecer un mayor apoyo en el proceso de aprendizaje de la autogestión por parte del paciente.
Palabras clave:
- inteligencia artificial,
- historia clínica electrónica personal,
- entorno digital de aprendizaje,
- recursos educativos abiertos,
- autogestión,
- enfermedades complejas,
- agencia
Resumo
A qualidade de vida das pessoas com doenças complexas é influenciada pelo seu envolvimento na gestão da própria doença e pelo seu nível de competência em autogestão. Essas pessoas podem enfrentar dificuldades para identificar recursos educacionais de acesso aberto, úteis para desenvolver essas competências. Realizamos uma revisão narrativa da literatura com o objetivo de identificar as tecnologias de inteligência artificial já utilizadas nos registros pessoais de saúde digitais e os desafios aos quais essas tecnologias oferecem soluções. Pesquisamos em três bases de dados: PubMed, ScienceDirect e Scopus. As palavras-chave foram selecionadas para incluir inteligência artificial e registros pessoais de saúde digitais. Entre os 17 artigos identificados, destacaram-se quatro grandes famílias de tecnologias: aprendizagem automática, sistemas baseados em regras, ontologias e processamento de linguagem natural. Na maioria dos artigos, diversas tecnologias são combinadas e contribuem de forma complementar para a aprendizagem da autogestão. Esta revisão mostra a possibilidade de enriquecer o design dos registros pessoais de saúde digitais com inteligência artificial e integra-se no desenvolvimento do ambiente digital SPÉCIAL, que visa oferecer mais apoio no percurso de aprendizagem da autogestão pelo paciente.
Palavras chaves:
- inteligência artificial,
- prontuário eletrônico pessoal de saúde,
- ambiente digital de aprendizagem,
- recursos educacionais abertos,
- autogestão,
- doenças complexas,
- agência
Parties annexes
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