As of 2026, Medical Extended Reality (MXR) has transitioned from experimental pilot phases to an integrated component of the regulated medical device landscape. It is already part of the regulated medical device landscape in the United States, and the FDA now maintains a public list of AR and VR devices authorized for marketing. Some of those products are procedural or surgical, but others are clearly therapeutic, which means immersive care has moved beyond theory and into real clinical
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Who Gets to Become a Doctor? How Federal Loan Caps Could Reshape the Physician Pipeline
The conversation around federal student loan caps has focused almost entirely on undergraduates. That's understandable as undergrads are the largest borrowing population, but for medical education, the consequences of the proposed legislation may be more immediate and far less visible to both policymakers and wider audiences.
To set context, let me be specific about what's in the bill: The legislation would cap annual federal borrowing for professional school at $50,000 and impose an
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Bypassing Decisional Friction: How Kaiser Permanente Cut 12 EHR Instances to 2 in Under Three Hours
CIOs today are being asked to accelerate technology transformation while still managing the cost and complexity of legacy technology. Organizations are racing to keep up with the pace of change and investing billions in modernizing platforms, data, AI -- often all at once. Yet, when transformation stalls, the root cause is rarely technical. More often, the challenge is execution.
Technology can enable transformation, but execution determines whether transformation succeeds.
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The Real Reason Revenue Cycle Automation Keeps Failing Hospitals
Hospital leadership has heard the automation promise before. Implement this platform, the pitch goes, and your revenue integrity team will finally get ahead of denied claims, underpayments, and timely filing lapses. And yet, according to the American Hospital Association, commercial insurers’ claim denial rates have roughly doubled over the past decade, and hospitals are still losing out on tens of millions annually to payment gaps they can’t fully see. The tech and tools changed, while the
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Four Digital Transformation Lessons for Successfully Deploying Healthcare Agentic AI
The success of agentic AI rollouts will depend on whether underlying workflows are designed to effectively support it. IT departments should play a central role here—but effective coordination with operations teams is key.
Agentic AI, like a host of other technologies that came before it, is poised to transform healthcare. A quick scan of recent stories in this very magazine illustrates the sheer breadth of—and investment in—its promise: from improving patient services and reducing
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Why Primary Care First Visits Must Function Like Follow-Ups
Of the roughly 30 million GP appointments recorded each month across England, most begin the same way: a patient describes what is wrong, the doctor listens, and the clinical picture gradually assembles itself over the first several minutes of a consultation that, on average, runs to under 11. Research published in the British Journal of General Practice has shown that the clinical tasks a GP is expected to complete in a standard appointment routinely take longer than the appointment allows. The
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Healthcare’s Hidden Backbone: Why Modernization Matters More Than Ever
When people think about healthcare innovation, they often picture telehealth platforms, AI-powered diagnostics, wearable devices, or the latest breakthrough treatments. What they rarely think about are the systems quietly operating behind the scenes that make modern healthcare possible.
Every day, healthcare organizations rely on complex core systems to process claims, manage member information, support regulatory compliance, and maintain access to critical patient and business data. For many
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Rise of Cloud Conversational Voice AI in Healthcare
Healthcare providers are turning to cloud-based conversational AI to fix an access crisis that traditional staffing models can no longer solve, with intelligent voice networks now handling everything from appointment scheduling to insurance verification without a human on the line.
What began as a customer-service experiment is fast becoming core clinical infrastructure. Hospitals and clinics are routing scheduling, triage, billing and payer communication through AI systems that understand
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The Premium Programmatic Imperative: Why Pharma’s HCP Engagement Strategy Needs a Serious Upgrade
When did "we believe we reached physicians" become an acceptable standard for a billion-dollar industry? Somewhere along the way, pharma marketing made peace with probabilistic targeting, inferred identities, and impression counts that looked impressive but proved little. The industry didn't lower its clinical standards. It just never applied them to its media buying.
That disconnect is no longer sustainable. And it's not a media buying problem. It's a structural one.
The Illusion of
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Why Healthcare AI Demands an Owned Intelligence Layer
Healthcare is one of the few industries where AI errors do not just cost money. They can compromise patient trust, expose sensitive data, create compliance risk, and undermine the clinicians and operators responsible for care.
Yet much of the AI tooling entering healthcare was built for speed, not accountability. The tools that can generate a demo in a day were not designed for clinical workflows, fragmented patient data, audit trails, compliance policies, or the accuracy requirements
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