It’s not the algorithms holding health systems back, but the data they rely on. Predictive diagnostics and automated clinical support may be crucial, but the true foundation of AI success is clean, connected, and accessible data. Without it, even the most sophisticated models deliver limited i
Frontline care teams in 2026 face a paradox: they have record-level digital connectivity at their fingertips, yet persistent gaps in actionable clinical information at the bedside. To improve outcomes and make hospital-at-home and other community models safe and scalable, health systems must move
The intersection of AI and healthcare has accelerated sharply in 2025. Just recently, OpenEvidence, an AI platform designed for medical professionals, was prepared to announce a $200 million funding round at a $6 billion valuation . The raise follows a $210 million round just three months earlier
Operational inefficiency is the silent epidemic in modern healthcare. While leaders focus on clinical breakthroughs and patient-facing initiatives, fractured backend processes quietly erode financial stability. They often compromise patient safety as well, simultaneously accelerating staff burnout.
Chronic disease and poor health cost U.S. employers an estimated $575 billion each year in lost productivity. A major driver of this loss is medication nonadherence, an ongoing challenge for HR and benefits leaders. Keep reading to explore how AI transforms healthcare by personalizing treatment,
Beyond 2025, healthcare is expected to continue evolving toward a fully digital environment . In this setting, it's crucial for institutions to connect with each other and exchange patient information. This helps everything run smoothly and ensures good care. Every organization, whether a
