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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The Real Reason Investors Are Backing Maternal Health
There’s a reason investors are pouring money into maternal health right now, and it’s not just because it’s the “right thing to do.” It’s because maternal health sits at the intersection of some of the biggest challenges in healthcare today: cost, access, workforce shortages, chronic disease, behavioral health, health equity, and long-term outcomes.
And the numbers are becoming impossible to ignore.
Despite spending more on healthcare than any other developed nation, the United States
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Why Patient Communication Is Healthcare AI’s Next Growth Category
When most people think about artificial intelligence in healthcare, they think about clinical applications, diagnostics, documentation, or administrative automation. Those are important areas of innovation, but after spending the last several years working alongside healthcare practices implementing AI in real-world environments, I've become convinced that one of the biggest opportunities lies elsewhere: patient communication.
Over the past two years, I've had conversations with hundreds of
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Hospitals Are Buying AI Faster Than They Can Govern It. That’s the Real Risk.
Walk any health IT trade show floor and you would think the hard part of healthcare AI is the AI. Smarter models, faster inference, slicker demos. But that is not where this is going to be won or lost. The technology is racing ahead. The governance behind it is not. And that gap, not the algorithms, is the real risk facing health systems right now.
Here is the uncomfortable thesis. Most hospitals are buying AI faster than they can govern it. They can sign the contract in a
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The Technical and Operational Realities of TEFCA Adoption
Health systems and Payers have spent two decades and considerable capital wiring themselves to exchange data including bilateral interfaces, regional HIEs, national networks, etc. Yet, they still spend millions annually chasing records by fax, portal, and phone. TEFCA, the Trusted Exchange Framework and Common Agreement, is the first serious attempt to replace that patchwork with a single nationwide operating model: connect once, exchange with everyone, under one set of technical, legal, and
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