Data is the fuel of the 21st century. It has the potential to improve businesses and lives. See how InterSystems partners are changing the world, transforming lives, proving that the future is here.
InterSystems Data Studio empowers supply chain teams with accurate, trusted, and real-time data to make faster, smarter decisions. By simplifying data integration and providing a low-code, self-service gateway for harmonizing supply chain data, organizations can reduce implementation time, lower costs, and accelerate time to value.
According to recent HIMSS Market Insights research, 86% of healthcare leader respondents agreed that interoperability without data preparation provides limited value for analytics or artificial intelligence (AI). This data point signals a shift in how healthcare organizations should reimagine their interoperability strategy – not merely as a goal of connectivity – as they continue to deploy AI in clinical, business and operational areas.
InterSystems IRIS, une plateforme de gestion de données convergée, est nommée dans le Gartner® Magic Quadrant™ 2025 pour les systèmes de gestion de bases de données dans le cloud.
Drawing on insights from 278 organizations representing nearly 40% of U.S. hospitals, the CHIME 2025 Digital Health Most Wired Interoperability & Population Health research shows the start of healthcare’s next digital transformation—transitioning from building connections to achieving true data utility.
Pilier annoncé depuis des années de la transformation numérique en santé, l’interopérabilité – la capacité des systèmes d’information à échanger des données de manière fiable, sécurisée et intelligible – s’est longtemps heurtée à une réalité fragmentée. La situation évolue toutefois rapidement, sous l’effet combiné de référentiels nationaux mieux structurés, de plateformes de données plus matures et d’usages numériques en forte progression.
Person identity impacts both care quality and financial performance. Duplicate and mismatched records introduce clinical risk, drive denials, and erode trust in data.