Centralizing Data into a Single Repository to Amplify Usability at Franciscan Health
Centralizing Data into a Single Repository to Amplify Usability at Franciscan Health
Franciscan Health
InterSystems technologies are the center of data flows at Franciscan Health, enabling the organization to provide patients with the right information when they need it, how they need it, and in the form they need it across Illinois and Indiana.
Data Integration Key to Achieving Needed Breakthroughs in Healthcare When peers from other industries ask why data hasn’t driven comparable breakthroughs in healthcare, the answer is usually hiding in plain sight: clinical and administrative data still live in different systems and “speak” different digital languages. Integrating them is a prerequisite for the next wave of progress—better care, better patient experience, and better operational performance at the same time. Fortunately, there are now multiple mandates spurring this integration, from Centers for Medicare & Medicaid Services requiring Fast Healthcare Interoperability Resources APIs, to National Committee for Quality Assurance embracing digital quality measures, to enforcement of prohibitions against information blocking. Health plans and providers, however, must guard against swapping these two longstanding data siloes for several new ones.
Data Studio makes it easy to access accurate, consistent, and reliable data faster, and enables better-informed decision making across your entire supply chain.
Agentic AI in Healthcare A multi-agent AI system recently diagnosed rare medical cases correctly over 80% of the time. That's four times better than seasoned human clinicians. It didn't get there by being smarter than any single AI. It got there by having multiple agents argue with each other until the errors got caught.
FHIR is the REST API standard transforming healthcare data exchange. Learn how the VA and FDA use FHIR APIs for automated adverse event reporting, and what it means for your health system.
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.