An ontological approach to digitalization of medical check-ups and follow-up medical care based on a telemedicine platform

An ontological approach to developing a digital telemedicine platform is proposed, enabling the configuration and customization of medical data collection and processing workflows in real-time based on specific objectives and applications. For the first time, the generalized problem of medical check-up is formulated as a multicriteria optimization problem of operations research. Implementation options for a digital telemedicine platform designed for periodic medical check-ups and patient monitoring are presented, along with recommendations for a software architecture that can adapt to practical healthcare requirements. The platform’s knowledge base is structured as a semantic network, integrating concepts with their corresponding attributes and linking digital patient profiles to medical diagnostic results. The use of ontology ensures the configurability and adaptability of the digital telemedicine platform, enhancing its efficiency in healthcare institutions for medical data collection. The experience of implementing a digital telemedicine platform with ontology-based customization of data collection processes has highlighted the need to adapt both the information and logical models of stored data, as well as data entry processes via interactive user interfaces, thereby improving medical personnel productivity. The proposed approach has potential for collecting data for training artificial neural networks in medical decision support systems.