Patient empowerment, Personalization and Adherence
We tackle patient empowerment by embedding Persuasive Design model concepts into digital solutions, including personalization. To achieve this, novel data science methods have been developed to obtain, starting from opportunely developed web-questionnaires based on the problem and the population to be studied, Personas definitions. From such user profiles, in collaboration with a team of psychologists at Università degli Studi Milano, specific messages and strategies are designed to help in changing and maintaining new behaviour towards better lifestyle. Such solutions can be delivered via web platforms, smartphones, wearables, and be applied for both primari, secondary, and tertiary prevention, as well as during clinical trials, con il progetto di ricerca finalizzata “IntakeCare”, è in via di sviluppo una piattaforma per l’aumento della aderenza terapeutica basata su dispositivo di voice (Alexa), che verrà testate in un RCT presso l’IRCCS Auxologico San Luca con 200 pazienti ipertesi coinvolti.
Research Projects and collaborations
“IntakeCare” project (Finalized Research 2022, Ministry of Health): development of a platform for the management and improvement of terapeutic adherence in hypertensive patients
IRCCS Istituto Auxologico Italiano, Ospedale San Luca
- Relevant publications (updated Nov 25)
Tauro E, Gorini A, Bilo G, Caiani EG. A novel data-driven approach to for Personas validation using self-supervised machine learning and clustering consensus. J Biomed Inform. 2025 Mar 14;165:104815. doi: 10.1016/j.jbi.2025.104815.
Dui LG, Donati A, Tauro E, Fontolan S, Toffoli S, Caiani EG, Campi A, Termine C, Ferrante S. Machine Learning to improve the access to the clinical pathway for children with specific learning disabilities. 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2025
Pighini C, Cesareo A, Migliavacca A, Caiani EG. (2025). LifeCharger SynCare Mobile App: A Preliminary Usability Study. In: Singh, D., van ’t Klooster, JW., Tiwary, U.S. (eds) Intelligent Human Computer Interaction. IHCI 2024. Lecture Notes in Computer Science, vol 15557. Springer, Cham 2025. https://doi.org/10.1007/978-3-031-88705-5_2
Tauro E, Gorini A, Caiani EG. An improved framework to develop Personas applied to willingness of vaccination against COVID-19 in the general population. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Houston, TX, USA, 2024, pp. 1-8, doi: 10.1109/BHI62660.2024.10913943
Tauro E, Gorini A, Caiani EG. A data-driven method to perform Personas Validation using Clustering consensus metrics. In: Costin, HN., Magjarević, R., Petroiu, G.G. (eds) Advances in Digital Health and Medical Bioengineering. EHB 2023. IFMBE Proceedings, vol 109. Springer, Cham. https://doi.org/10.1007/978-3-031-62502-2_57
Parati G, Goncalves A, Soergel D, Bruno RM, Caiani EG, Doehner W, Gerdts E, Mahfoud F, Mantovani L, McManus R, Santalucia P, Kahan T. New perspectives for hypertension management: progress in methodological and technological developments. Eur J Preventive Cardiol 2023 Jan 11;30(1):48-60. doi: 10.1093/eurjpc/zwac203
Tauro E, Gorini A, Caiani E. A Novel Data Science Approach to Personas’ Creation to Study Willingness to Receive Vaccination in the General Population. IEEE EHB 2022;10:66 10.1109/EHB55594.2022.9991490
Tauro E, Gorini A, Caglio C, Gabanelli P, Caiani EG. COVID-19 and mental disorders in Healthcare Personnel: A Novel Framework to Develop Personas from an Online Survey. Journal of Biomedical Informatics 2022; 126: 103993, https://doi.org/10.1016/j.jbi.2022.103993
Tauro E, Gorini A, Caglio C, Caiani EG. A framework for risk stratification of burnout due to Covid-19 in nurses using Persona’s creation. Eur J Cardiovascular Nursing, 2021; 20 (Suppl_1): zvab060.094, https://doi.org/10.1093/eurjcn/zvab060.094