By Jay Anders MD – Behind the polished demos and bold promises, a large language model remains a fast, powerful next-word predictor. It reviews an enormous matrix of possibilities and generates the word it calculates should come next. It does this so well that it can appear to reason. But it does not reason as clinicians do. It predicts.
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By Gurkan Camok MSc – Healthcare AI is often introduced through a performance metric: accuracy, sensitivity, specificity, or speed. Those measures matter, but hospital adoption is determined by a different question. Can the system deliver useful, understandable guidance inside a real clinical workflow without creating new delay, confusion, or risk?
By Tharun Kumar Nallamothu – Healthcare organizations are investing heavily in artificial intelligence, but in practice, only a small number of systems make it past the initial rollout and actually get used at scale. The gap isn’t coming from a lack of innovation. If anything, the pace of model improvement has been impressive.
By April Miller – Healthcare organizations face financial pressure as operating costs and administrative demands increase. At the same time, patients expect clear pricing and greater transparency throughout the billing process.
By Sanjeev Menon – Automation was always the floor, not the ceiling. The next phase of patient access depends on two capabilities the first generation was never built to deliver.
By Christine Chasse – Artificial intelligence is no longer a future concept in health care; it is already shaping documentation, triage, utilization review, patient communications, clinical decision support, and digital health products. Used well, AI can reduce administrative burden, organize complex information, and help clinicians and patients move through the system more efficiently.
Newly released episode of AI Amplified. Host Dr. Heather Bassett talks to Miriam Paramore, founder and CEO of RxUtility, discussing a problem most patients don’t realize exists: prescription drug prices are opaque, highly variable across pharmacies, and can fluctuate multiple times in a single day, leaving patients to discover the real cost only when they reach the counter.
By Prof. Eyal Zimlichman – Seemingly everywhere you look, a wave of AI layoffs are hitting companies across dozens of industries. Tens of thousands of skilled workers are being let go in the name of administrative efficiency. Yet at the same time, others are finding creative ways to ensure AI enhances workers’ productivity rather than replacing them.
By Nikhil Bavaskar – Healthcare organizations have spent the last few years testing where artificial intelligence can help. Many have moved beyond pilot projects. Today, AI supports clinical documentation, patient communication, prior authorization, scheduling, and revenue cycle work.