In the face of sweeping Medicare changes for 2025, millions of seniors face the challenge of navigating a complex landscape of new options, increased costs, and altered benefits. Innovative technologies are emerging as crucial tools for both patients and healthcare providers, offering detailed cost comparisons, network analyses, and benefit breakdowns.
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.
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 MDIC Annual Public Forum 2024 kicked off this week with experts from the National Evaluation System for health Technology (NEST), the Centers for Medicare and Medicaid Services (CMS), and the FDA. Topics included the future of real-world evidence (RWE) and the integration of AI into the healthcare ecosystem and how can we leverage emerging technologies to bring innovative and safer solutions to patients.
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.
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.
