A long-overdue push to reduce administrative friction, improve access to patient data, and move the system away from workflows that continue to waste time for both patients and providers.
A long-overdue push to reduce administrative friction, improve access to patient data, and move the system away from workflows that continue to waste time for both patients and providers.
New implementation community builds on global collaboration to improve
real-time device data exchange for AI-enabled care.
To achieve medical Device Interoperability, system boundaries need to be defined, system architecture needs to be aligned, and interfaces and communication protocols need to be established across individual components of the medical device. In some cases, it is as important to design and implement QMS Interoperability as it is to design Device Interoperability.
AI and large language models (LLMs) are revolutionizing critical care by integrating scattered data from various sources to deliver real-time insights. This allows for prompt escalation or de-escalation of treatment and enhances patient outcomes. These technologies also help reduce staffing issues and prevent clinician burnout by continuously monitoring patient risk and supporting decision-making in busy ICU settings.
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.
This silent crisis has dire consequences. Patients face delays, errors increase and the entire system suffers. This cannot continue. But in the face of such crippling challenges, how can healthcare practices look to improve the interoperability of their systems?
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.
Key trends picking up momentum in the field of healthcare. How GenAI is revolutionizing clinical workflows. The rise of ambient technologies in patient care. IoMT devices and SaMD solutions to enable patient care. Interoperability and automation of data. Cybersecurity to ensure the safety of personal data.
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.