Literature Review on the Use of Artificial Intelligence in Personal Health Records to Support the Development of Self-management Skills in Patients with Complex Conditions
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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.
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