There is an increased need to foster effective and improved dynamics between people, processes, knowledge and technology to generate an output of safety. “Nudges,” which can help optimize choices by encouraging safer and healthier behaviors, are a promising option.
Remote care in the home relies both on the quality of patient monitoring and on the insights provided to the care team. There is a real danger that data overload and alert fatigue will undermine otherwise well-designed remote patient monitoring (RPM) and Hospital at Home programs. The software platform and algorithms tasked with integrating and evaluating data must identify the data that matters, when it matters.
The key priority for any healthcare system should be the well-being of patients. At present, the U.S. healthcare system is failing to target low-hanging fruit that could help drive better results for patients, and—by catching illnesses earlier—ultimately lower the cost of our healthcare system.
Medtronic will invest up to $75 million and immediately begin co-promotion of CathWorks’ FFRangio System for the noninvasive diagnosis of CAD in the U.S., Europe and Japan, where it is commercially available.
Next-generation, predictive analytic patient monitoring lowers healthcare costs, improves clinical outcomes and enhances the patient experience in hospital-at-home, post-acute care and chronic care management.
The committee will be discussing skin lesion analyzer technology and its application in detecting skin cancers in various patient care settings as well as the potential reclassification of approved computer-aided melanoma detection class III devices.
“M.I.Tech is an innovator in nonvascular stent development, with product offerings that complement our existing stent portfolio.”
The COVID-19 pandemic exposed the necessity of virtual care and revealed its possibility as a more efficient means of administering treatment in an overwhelmed and understaffed infrastructure. Its fast-paced adoption highlighted the need for global standards and third-party certifications.
AI can support device innovation and surgical training, but it requires data and collaboration.
Combining imaging technology with artificial intelligence can help address both challenges in healthcare disparities as well as in patient care.
