Harnessing the power of big data from medical device software offers real-time monitoring, predictive analytics, and personalized treatment plans, significantly enhancing the doctor to patient relationship as well as patient outcomes.
Health equity can provide equal opportunity for patients to achieve the best care possible. Medtech leaders from Boston Scientific, Sequel Med Tech, and ZEISS Medical Technology share how healthcare delivery, data transparency, and industry collaboration can provide more value to patients.
AI and real-time data enhance care efficiency and access. And with healthcare workers in short supply, the rapid advancements in AI, IoMT, and related innovation offer patient access freedom, enhanced care delivery, and better outcomes.
AI has the ability to revolutionize the medical landscape, but to enable this, Quality Engineering is critically important.
Five startups selected to participate in Memphis area Accelerator following The comprehensive 13-week go-to-market program is specifically designed to support medtech startups through essential business development stages.
Modern interoperable systems, data centralization, and a wide-angle view of inventory and usage trends are providing hospitals to proactively switch from a “push” to a “pull” supply chain management, allowing for active real-time inventory management and sourcing based on need.
Matter and HERIF announced the winner of the Inaugural Future HealthTech Leaders Innovation Challenge. Monarch Health, a digital behavioral health treatment program for children and adolescents with medical conditions and health concerns, wins in eight-week accelerator pitch competition.
The value-based care model, with a substantial monetary budget, necessitates on-time and correct risk stratification. As a result, new and incumbent care providers and payers are reinventing healthcare delivery, looking towards cutting-edge GenAI and machine learning technology to radically transform the healthcare delivery paradigm. This article explores how GenAI and machine learning-based risk stratification are revolutionizing a new era of personalized care, resulting in improved healthcare functions for payers and providers.
Collaboration tackles complex challenges using data science to improve decision-making in cancer care.
MedTech organizations need to focus on the human factor of change and achieve top-down alignment, buy-in, accountability, and clear communication along the way.
