Thus far, the company has received 51 reports of serious injury and three reports of patient death over five years.
Embracing compliance is a continuous process, and investing in agile technologies that streamline workflows—especially in meeting EU MDR and IVDR requirements—is essential, says Lana Feng, Ph.D., CEO-founder of Huma.AI, a pioneer in a human-centered AI.
A global pandemic is still upon us, but that certainly does not mean that healthcare technology innovation is standing still. To help the medical device industry look to the future and prepare, experts from regulation and academia alike are bringing attention to the acceleration and pitfalls of innovation.
Califf faced strong opposition but was confirmed in a very close vote.
Healthcare cannot remain reactive to dealing with cybersecurity risks. We must take a new, proactive approach to protecting our users, and our systems must prioritize reducing the extent of reliance on users against unknown threats.
As more healthcare activities take place from home, passive continuous monitoring solutions and new technology such as artificial intelligence will be critical to communications between providers and patients. In addition, new solutions that offer overnight monitoring will play a crucial role in helping to fill the gaps, particularly in assessing patient deterioration or changes in health conditions. The pandemic has forever changed the trajectory of healthcare and specifically virtual care.
Francisco Partners is acquiring healthcare data and analytics assets from IBM.
Increasing demand for custom surgical implants and growing investment in R&D will help the sector experience significant growth over the next five years.
The threat of an attack is imminent. It is critical for medical devices and systems, as well as healthcare facilities to have the right safeguards in place.
Opportunities for intelligent computer systems span widely, including extensive use in medical science. Artificial intelligence enhances cognition analysis of complex health issues and improves the diagnoses. However, there are still some challenges in terms of data quality, regulations, market penetration and adaptation.