In brief: Mercy teams with J&J to evaluate medical devices
LOUIS –Mercy Health System is collaborating with Johnson & Johnson Medical Devices Companies to develop a data platform that uses real-world clinical data to evaluate medical device performance. “We began this project to make sure the devices Mercy uses work for patients,” said Dr. Joseph Drozda, Mercy’s director of outcomes research at Mercy Health System, in a statement. “With more than 8,000 new medical devices entering the market each year, it’s critical that we find better ways to evaluate their performance.” JJMDC will utilize Mercy’s data infrastructure to inform and improve regulatory decision- making and health outcomes for medical devices. “Not only does Mercy have diverse data, we have the data platform, quality, scale and sophisticated data scientists to turn this data into meaningful information,” said Drozda. “That’s critical where patient outcomes are concerned.”
Geisinger selects Jvion’s AI machine to improve outcomes
DANVILLE, Penn. – Geisinger Medical Center will use Jvion’s artificial intelligence-powered Cognitive Clinical Success Machine to improve chronic obstructive pulmonary disease-related readmissions, as well as avoidable COPD admissions. “The integration of Jvion’s solution is another step in the Institute’s plan to transform health care delivery by improving quality, outcomes and patient experience, while optimizing efficiencies,” said Dr. Karen Murphy, executive vice president, CIO and founding director of the Steele Institute for Healthcare Innovation at Geisinger, in a statement. “Leveraging demonstrated AI, we hope to accelerate our path to preventing patient illness and deterioration, optimizing patient care and improving patient health outcomes. Our goal is to apply the capabilities of the machine to drive significant improvements for some of the largest and most debilitating challenges that we face as healthcare providers.” Jvion’s Cognitive Clinical Success Machine uses Eigen-based technology to ask a series of questions about a patient’s health and risk. For each question, the machine delivers an individual patient’s risk, the clinical and non-clinical factors propelling the risk, and the most effective actions or interventions to mitigate the risk.
MedCrypt raises $1.9M for medical device security
ENCINITAS, Calif. – MedCrypt has raised $1.9 million in new funding to accelerate the commercial deployment of cryptographically embedded cybersecurity software for medical device makers. “The FDA is cracking down on medical device cybersecurity by releasing more robust regulations by which medical device vendors and health care delivery organizations are required to abide,” said Mike Kijewski, CEO and co-founder of MedCrypt, in a statement. “Our solution lets these organizations protect their devices and patients with just a few lines of code.” The company’s cryptographically embedded security software helps medical device vendors build products that are secure by design and monitor behavior of these devices once they are deployed. This additional financing brings the company’s total to-date funding to $3 million.