Service: Intelligent mechanisms for clinical evaluation - Facilitate the reconciliation of citizens

Responsible organisation: AlmavivA (Private sector)

The Client's objective was to introduce intelligent mechanisms that would facilitate the reconciliation of the need to offer the citizen the best care and, at the same time, optimize costs, reducing the time that each doctor took away from taking care of patients for administrative duties. Machine Learning algorithm can support the doctor in the clinical evaluation and make suggestions in less time, analyzing much more information. Clinicians in the diabetic, nephrology and internal medicine departments are called upon every day to make predictions based on the conditions of the patients being treated with respect to the time of discharge, the possibility of the onset of complications and consequent need for readmission, even urgent, to the facility. . They must, they needed to update the forecast every day for both patients in treatment and for those in protected discharge, to ensure that the facility was always able to provide assistance.

Additional information

Source Open Innovation Regione Lombardia
Web site https://www.almaviva.it/it_IT/Sanita_digitale/Case_study_IA_sanita https://www.lombardiaspeciale.regione.lombardia.it/wps/portal/LS/Home/News/Dettaglio-News/2020/10-ottobre/premio-vimercate/premio-vimercate https://www.asst-brianza.it/web/uploads/news/newsletter/eedf8a85-a91d-43af-abff-a7655e8875fd.pdf
Start/end date 2021 -
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