Met CKAN worden opgeslagen data volgens open standaarden beschikbaar gesteld voor hergebruik als portal en zijn deze aangepast aan het semantisch web.
Europese openbare datasets bij PublicData.eu[5] worden via het CKAN model aangeboden. In Nederland is de site data.overheid.nl[6] gebouwd op Drupal en CKAN.
Voor data.overheid.nl is een API beschikbaar die de metadata van alle aanwezige datasets beschikbaar stelt. Alle informatie op data.overheid.nl is her te gebruiken onder de CC-0 licentie.
Imagine a hospital where AI monitors patient vitals 24/7, instantly alerts doctors to abnormalities, and even assists with diagnosing conditions before they become life-threatening. Sounds futuristic? It's already happening.
Artificial Intelligence (AI) is no longer just a buzzword in healthcare. It's actively reshaping how hospitals, clinics, and research centers operate. From reducing doctors' administrative burdens to making faster, more accurate diagnoses, AI agents are making healthcare smarter, faster, and more efficient.
But What Exactly Are AI Agents in Healthcare?
Think of AI agents as intelligent digital assistants, except they're trained on large datasets, capable of learning, reasoning, and making decisions without human intervention. These agents help medical professionals by handling repetitive tasks, analyzing complex patient data, and even guiding treatment plans based on real-time information.
The goal? Free up human talent to do what they do best care for patients.