Kaiser declined several requests for an interview, but said in a statement that AI tools don't make medical decisions or replace human care. Rather, they hold "significant potential to benefit health care by supporting better diagnostics, enhancing patient-clinician relationships, optimizing clinicians' time, and ensuring fairness in care experiences and health outcomes by addressing individual needs."
Cancer is not a monolith. "We speak about cancer like it's one disease, but it's more like thousands of different diseases," said Simone Korsgaard Jensen, CEO and founder of Radical Health. "On top of that, every single individual is so different. But right now we still treat it with a one-size fits-all approach. And that's where data and AI can especially step in to help."
When implemented effectively, the healthcare LMS benefits extend far beyond training. It enhances clinical decision-making, minimizes human errors, and fosters continuous professional development. AI-driven analytics detect performance gaps early, recommending refresher courses to prevent skills degradation. By ensuring that every staff member-whether clinical, technical, or administrative-stays updated, healthcare institutions can significantly improve patient outcomes and safety standards while meeting stringent regulatory requirements.
Ensemble Health, a major player in healthcare revenue management, is seeking a potential $13 billion sale or IPO next year, Business Insider has learned. Ensemble, owned primarily by private equity firms Warburg Pincus and Berkshire Partners, has tapped JPMorgan to pursue a sale, five people with knowledge of the deal told Business Insider. At the same time, Ensemble is considering an IPO and has pulled in Goldman Sachs to support the dual-track approach, three of the people said.
For more than a decade, researchers have wondered whether artificial intelligence could help predict what incapacitated patients might want when doctors must make life-or-death decisions on their behalf. It remains one of the most high-stakes questions in health care AI today. But as AI improves, some experts increasingly see it as inevitable that digital "clones" of patients could one day aid family members, doctors, and ethics boards in making end-of-life decisions that are aligned with a patient's values and goals.
The use of artificial intelligence in healthcare could create a legally complex blame game when it comes to establishing liability for medical failings, experts have warned. The development of AI for clinical use has boomed, with researchers creating a host of tools, from algorithms to help interpret scans to systems that can aid with diagnoses. AI is also being developed to help manage hospitals, from optimising bed capacity to tackling supply chains.
One of the biggest examples in the commercial consumer industry is GPS maps. Once those were introduced, when you study cognitive performance, people would lose spatial knowledge and spatial memory in cities that they're not familiar with - just by relying on GPS systems. And we're starting to see some of those things with AI in healthcare," Amarasingham explained.
The survey of 2,000 adults found nearly a third (29%) have put off seeking care due to long waits, while more than one in five (22%) admit they have avoided seeking care altogether. Alarmingly, one in five (20%) delayed seeing a doctor even after noticing possible cancer symptoms. Doctors warn this behaviour could mean hundreds of cancers are going undiagnosed, or being caught later when survival chances are reduced.
As artificial intelligence becomes a buzzword in nearly every healthcare startup pitch, investors are finding it increasingly challenging to distinguish which ones are actually worth the hype. That's why, during a Thursday panel discussion among venture capitalists at the MedCity INVEST Digital Health conference in Dallas, this question was posed: What metrics do you want to see founders highlighting more often when they're pitching, and what is one red flag that makes you question the validity of their technology? The session was moderated by Neil Patel, head of ventures at Redesign Health.
Co-authored by Stephen O'Brien and Michael Hogan As AI becomes more autonomous, its potential for higher status and increased authority in human-AI teamwork scenarios is concerning. A serious problem arises when human trust in AI masks inappropriate reliance on AI and poor human-AI teamwork performance. This is particularly concerning in life-or-death situations where erosion of human agency can be fatal.
The world-first technology analyses brain CT scans of stroke patients arriving at hospital, taking just a minute to identify the type and severity of stroke and the most appropriate treatment. It means doctors can then offer drugs or surgery much more quickly, with the system shortening the average time between patients arriving at hospital and starting treatment by one hour from 140 minutes to 79 minutes.
But even in the best-funded clinics with the most committed professionals, standards can still fall short; doctors, like the rest of us, are working with stone age minds. Despite years of training, human brains are not optimally equipped for the pace, pressure, and complexity of modern healthcare. Given that patient care is medicine's core purpose, the question is who, or what, is best placed to deliver it?
CS Connect is an artificial intelligence-powered virtual platform where patients can access healthcare support 24/7, aiming to improve access to primary care and reduce wait times.
Microsoft's AI Diagnostic Orchestrator tool has shown an 85% accuracy in diagnosing complex medical cases, significantly outperforming human doctors' 21%. This efficiency is crucial performance given the 50 million daily health care GenAI searches.
The North London NHS Foundation Trust's Digital, Data, and AI Academy was honored with the Digital Literacy, Education, and Upskilling Award at the HSJ Digital Awards 2025 for its effective IT training program.
