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PhysIQ applies artificial intelligence and machine learning to the data streaming from wearable or implantable devices to learn one’s unique vital sign patterns and then detect subtle deviations that may indicate a change in health. The result is a data- and device-agnostic platform that can be applied across multiple clinical use cases, hardware platforms, and patient populations to generate unprecedented personalized insight.Our Technology and Solution
For health systems, payers, and post-acute providers…continuous real-world personalized patient insight
For pharmaceutical and med device clinical trials…unprecedented data collection for clinical product differentiation
For wearable and implantable device companies…licensable and scalable Personalized Physiology Analytics
Inspiration and insights from opinion leaders in healthcare and technology.
New technologies in healthcare are allowing for innovative approaches to managing at-risk patient populations. This piece explores how healthcare can borrow a page from just-in-time manufacturing to improve care of at-risk outpatient populations...
Dr. Steve Steinhuble of the Scripps Translational Science Institute explores how continuous ambulatory physiology monitoring will transform how we think about and treat at-risk patients outside the hospital.
Heart failure is one of the most pressing issues in population health. With almost 1 million hospitalizations per year, it represents a huge opportunity to improve outcomes and lower costs by leveraging technology. Heart failure nurse practitioner Karen Larimer explores what's on tap to address the unmet needs for these patients.