The companies have reached a long-term agreement allowing customers to use software, data, technology, and service offerings from Veeva and IQVIA together.
Episodic fatigue isn’t just about long agendas or IT timelines—it’s about spending decades refining a system built for care events, while health outcomes demand a system built for people’s lives.
China recently opened their first-ever AI Hospital with public pilot launches in May 2025.
Increasing patient demand, barriers to access, and elevated costs are pushing healthcare providers to reconsider traditional clinical and operational workflows to meet growing challenges and improve patient outcomes. Artificial intelligence (AI), robotics, and digital therapeutic solutions are streamlining processes and expanding the possibilities for reimagining care delivery. As these technologies converge, the shift from complex high-cost interventions toward lighter more adaptive care models creates opportunity to better meet the needs of diverse patient populations.
89% of KLAS-surveyed customers use Xsolis’ AI technology to minimize preventable denials.
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.
How does combining AI with Lean Management significantly improve efficiency in MedTech engineering? Much like IDEs or CAD tools before it, AI is becoming an essential enabler in reducing friction throughout the product development lifecycle—from onboarding and requirements generation to coding and testing—ultimately enhancing both productivity and innovation. Identifying and targeting inefficiencies using Lean principles, MedTech engineering organizations can unlock AI’s full potential to accelerate development and deliver higher-quality healthcare technologies.
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?
Angioplasty and stenting procedures (or percutaneous coronary interventions/PCIs) are performed more than four million times around the world every year to open up blockages in coronary arteries to allow the heart to receive proper blood flow. Most of these procedures — 80-85 percent — are only guided by traditional angiography, an x-ray of the blood vessels that requires a contrast agent to be flushed into the heart to identify where the blockages are.
As healthcare pushes forward in digital transformation, AI has emerged as a critical tool in optimizing electronic medical records. EMRs remain both vital and frustrating. Clinicians wrestle with usability, while patients struggle with engagement and access. By integrating AI thoughtfully and securely, we can create a more intuitive, efficient and user-centric experience for both groups.