{"id":4061,"date":"2021-02-24T12:57:14","date_gmt":"2021-02-24T11:57:14","guid":{"rendered":"https:\/\/torinotechmap.it\/?p=4061"},"modified":"2021-03-04T20:10:39","modified_gmt":"2021-03-04T19:10:39","slug":"hynnova-la-startup-torinese-che-ottimizza-la-vaccinazione-anti-covid19","status":"publish","type":"post","link":"https:\/\/torinotechmap.it\/en\/notizie\/hynnova-la-startup-torinese-che-ottimizza-la-vaccinazione-anti-covid19\/","title":{"rendered":"Hynnova, the Turin-based startup that optimizes anti-Covid19 vaccination"},"content":{"rendered":"
Startup Hynnova<\/strong><\/a>born from the collaboration between the Italian Hypermynds<\/a> and the Dutch Kinetic Analysis<\/a>last month entered into a collaboration agreement with ASL TO4 to revolutionize the ways of home care and treatment<\/strong>, through its proprietary solution ASC Home Healthcare<\/em><\/strong>, and optimize the local vaccination campaign<\/strong>optimize the local vaccination campaign, thanks to ASC Smart Booking<\/em><\/strong>.<\/p>\n\n\n\n This innovative startup was born from the project Arianna Safe Care<\/em> of the company Hypermynds, winner of the call Data Against COVID-19<\/a><\/em> of EIT Digital<\/a>, the community of the European Institute for Innovation & Technology<\/a> created with the aim of progressively improving the level of innovation in the countries of the European Union, to increase Europe's innovative competitiveness at the global level<\/strong>.<\/p>\n\n\n\n The machine learning<\/strong>platform, by reprocessing the information collected, is able to classify and order the activities to be carried out on the basis of available resources. The data is processed in such a way as to maximize the achievable result through the drafting of operational plans and work programs aimed at minimizing downtime<\/strong>.<\/p>\n\n\n\n Hynnova's objective is to rapidly test its solution in order to then be able to get in touch with the more than 100 local health authorities throughout Italy<\/strong> and to be able to rapidly scale its model nationwide.<\/p>\n\n\n\n Through machine learning, it will be possible to maximize and make efficient use of the space and health resources in the field for the vaccination campaign.<\/p>","protected":false},"author":3,"featured_media":4059,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[3],"tags":[113,167,230],"acf":[],"yoast_head":"\n