{"id":928,"date":"2026-07-13T12:11:01","date_gmt":"2026-07-13T10:11:01","guid":{"rendered":"https:\/\/www.meteda.it\/?p=928"},"modified":"2026-07-13T12:11:01","modified_gmt":"2026-07-13T10:11:01","slug":"parlare-di-sanita-digitale-significa-partire-dal-dato-clinico","status":"publish","type":"post","link":"https:\/\/www.meteda.it\/en\/parlare-di-sanita-digitale-significa-partire-dal-dato-clinico\/","title":{"rendered":"Talking about digital healthcare means starting with clinical data."},"content":{"rendered":"

Talking about digital healthcare means starting with clinical data\u2014not simply its collection, but the ability to interpret it, integrate it, and make it useful within care processes.<\/p>\n

Throughout the journey of a person living with diabetes, a large amount of data is generated from different sources: glucose readings, laboratory tests, diagnostic reports, patient diaries, device-generated reports, therapies, and information gathered during follow-up visits. The challenge is to make this information accessible, coherent, and clinically actionable.<\/p>\n

The 2026 General Assembly on Diabetes identified four key priorities for the future of diabetes care: healthcare governance, digital transformation, integrated health, and research. The digital pillar highlights tools such as the Electronic Health Record (EHR), artificial intelligence, and telemedicine as essential enablers of continuity of care, patient management, and the reduction of healthcare inequalities.<\/p>\n

Incomplete, non-standardized data, or data disconnected from the patient's medical record, leads to fragmented decision-making. Structured, traceable data that can be shared across hospitals and community care settings, on the other hand, becomes a practical tool for effective clinical governance.<\/p>\n

This is where our work begins.<\/p>","protected":false},"excerpt":{"rendered":"

Parlare di sanit\u00e0 digitale significa partire dal dato clinico: non dalla sua semplice raccolta, ma dalla capacit\u00e0 di interpretarlo, integrarlo e renderlo utile dentro i processi di cura. Nel percorso del paziente con diabete i dati sono numerosi e provengono da fonti diverse: valori glicemici, esami laboratoristici, referti strumentali, diario del paziente, report dei device, […]<\/p>\n","protected":false},"author":1,"featured_media":929,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6,8],"tags":[],"class_list":["post-928","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-diabete","category-intelligenza-artificiale"],"acf":[],"yoast_head":"\nParlare di sanit\u00e0 digitale significa partire dal dato clinico | Meteda<\/title>\n<meta name=\"description\" content=\"Serve la capacit\u00e0 di capacit\u00e0 di interpretarlo, integrarlo e renderlo utile dentro i processi di cura.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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