Plain-language articles on safe AI, better workflows, and what actually works in care settings.
3 articles
Artificial intelligence is becoming an increasingly familiar presence in healthcare, from predicting health risks to supporting clinical decision-making. While AI promises faster insights and better outcomes, one question remains critical: can we trust what we don't understand?
Healthcare systems are under growing pressure. Clinicians are overloaded, chronic conditions are rising, and much of today's care still begins only after problems emerge. The NHS digital transformation has made strides in digitizing records and improving access, but one critical piece remains underutilized: preventive AI.
Much of today's healthcare technology still operates in a reactive mode. Data is collected, thresholds are crossed, and alerts are triggered only after something has already gone wrong. But what if AI could think ahead, anticipating problems before they become crises?
