CMS’s proposed expansion of Medicare TAVR coverage to include select asymptomatic severe aortic stenosis patients and reduce access barriers for symptomatic patients could significantly increase TAVR adoption, creating a growth opportunity for Edwards Lifesciences through expanded eligibility, higher procedure volumes, and continued leadership in structural heart care.
MTI Viewpoints Insights shared by industry relative to healthcare and the advancement of medical technology. Peter Justen is Founder and CEO of AmeriTrust Solutions. He works at the intersection of technology, data, and human-centered design to improve access to government programs and streamline administrative processes. Hospitals and health systems make real-time decisions about patient care,…
New pathway cuts red tape and brings predictability to Medicare coverage for Breakthrough Devices.
Companies that embed Market Access early in innovation are the ones best positioned to navigate the changing global landscape.
The next phase of digital mental health adoption depends less on innovation and more on how the industry uses real-world evidence, builds reimbursement frameworks, and applies regulatory precedent to accelerate scale.
89% of KLAS-surveyed customers use Xsolis’ AI technology to minimize preventable denials.
Many medical device companies want to go to Japan since it is the third-largest market in the world. Oftentimes, device companies want to register their devices quickly in Japan to be on the market and are not focused enough on the initial medical device reimbursement they will get. This can lead to an unprofitable business if the Japanese reimbursement price is not higher than the sales price in Japan. Are there strategies to increase reimbursement?
Medical Devices must be fully reimbursable – no out of pocket expenses – in Japan. So, how is reimbursement achieved for your medical device?
careviso Survey Highlights Major Communication Gaps in Healthcare, Impacting Financial Transparency and Patient Experience
Billions of dollars are lost annually in medical billing errors resulting from data entry mistakes, outdated coding practices, and duplicated charges. Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the process of claims processing, diagnostics, eliminating errors, streamlining workflow, and increasing the accuracy of claims submissions. Together with human oversight to ensure precision and safety, AI augments healthcare professionals to improve patient care and outcomes.
