HL7 Launches Real‑Time Medical Device Interoperability Accelerator
New implementation community builds on global collaboration to improve
real-time device data exchange for AI-enabled care.
New implementation community builds on global collaboration to improve
real-time device data exchange for AI-enabled care.
Data has become overwhelming in healthcare. While it has provided tremendous solutions and outcomes, however, it can sometimes be a problem, too! How can data utilization in Clinical Studies and a ground up data strategy help make your technologies, your team, and your trials more efficient?
A digital companion, purpose-built for surgical patients’ pre- and post-operative journeys, is now an imperative for providers, payers, and medtech leaders aiming to achieve competitive differentiation, clinical excellence, and sustainable business value.
FHIR (Fast Healthcare Interoperability Resources) is an open standard designed to streamline data sharing within national healthcare systems and across systems in different countries. Its introduction aims to bring more consistency to patient care, ensuring that no matter where healthcare professionals (HCPs) are located, they can access the same up-to-date information on medications and their patients.
For over four decades, the medical device industry has wrestled with fragmented data exchange and proprietary integrations. HL7’s Device Interoperability FHIR Accelerator initiative offers a vendor-neutral framework to finally achieve plug-and-play interoperability—unlocking scalable, AI-powered MedTech innovation and improving patient outcomes.
Health IT interoperability advocacy group, The Sequoia Project released its latest Data Usability Implementation Guide including added guidance for receiving systems, advanced baseline requirements from USCDI V1, and more.
In the light of new research, Peter Muller and Mike Baird of Schlafender Hase assess how well Class 2 and 3 device manufacturers in Europe and the US are adapting to a rise in regulatory controls.
“We are excited that organizations like Innovaccer are working to improve trust in clinical data and help ensure the data’s accuracy and broader usability.”