Equitable access to health care is more than just about geographical coverage. It depends on the healthcare system’s ability to identify risk early, intervene intelligently, and sustain those interventions across the most clinically and socially complex populations.
This is why many value-based care (VBC) models struggle. Underserved Medicaid and Medicare populations frequently experience a disproportionate burden of chronic diseases, behavioral health challenges, transportation barriers,
Read More
Clinical Trial Site Selection and AI: Look-Alike Modeling Across Real-World Data and Care Delivery Signals
Site selection and enrollment failures are persistent challenges for life sciences organizations. A Tufts Center for the Study of Drug Development analysis of nearly 16,000 investigative sites across 151 Phase II and III global trials found that nearly half of all selected sites either failed to enroll a patient or under-enrolled.1 Site-selection decisions commonly draw on historical performance indicators like prior trial participation and past enrollment, typically favoring sites with an
Read More
GenAI’s First Steps Toward Measurable Therapeutic Impact in Mental Health: Reviewing the READI Framework
Over the past two years, generative AI has already shown its value in healthcare documentation and workflow support. Ambient scribing is one of the clearest examples: by reducing note-taking burden, it helps clinicians spend less time on routine tasks and more time with patients.
The next logical question that is gaining traction now is whether generative AI can deliver measurable therapeutic benefit in mental health care.
A serious test of that notion came from Therabot, a purpose-built
Read More
Why EHR Delivery Has Become a Strategic Decision: Operating Models and Clinician Burnout
For years, healthcare organizations have pursued IT cost optimization through familiar tactics: renegotiating contracts, extending hardware refresh cycles, consolidating vendors, and managing cloud spending. Those efforts can produce incremental savings, yet many organizations find themselves confronting the same financial pressures a few years later. The larger challenge is often architectural.
Increasingly, healthcare organizations are discovering that the design of their IT operating
Read More
Most Healthcare Is Local: Connecting Epic with Regional Health Information Exchanges
Imagine a patient who arrives at the hospital for a transplant evaluation. She’s been treated at three different health systems over the past two years, seen specialists across the region, and filled prescriptions at pharmacies in two states. Her oncology navigator needs a complete picture of her care history before tomorrow morning’s appointment. Some of that data lives in our EHR. A lot of it doesn’t.
This is the reality at a tertiary and quaternary referral center. Patients arrive from
Read More
The Bad Information Doom Loop: AI-Enabled Marketing Is Only as Strong as Its Data Foundation
In the AI era, "garbage in, garbage out" is no longer a technical warning. It is a business reality.
AI can optimize campaigns, identify audiences and recommend where to invest the next marketing dollar faster and more effectively than ever before. What it cannot do is recognize when the underlying data is incomplete, outdated or inaccurate. It simply builds on the information it is given.
As AI becomes increasingly commoditized, most brands now have access to similar models, platforms and
Read More
From Members to Ecosystems: How Medical Societies Can Steward Specialty Data in the Age of AI
Medical societies hold one of the most valuable and underappreciated assets in healthcare today: specialty clinical data.
Through years of quality reporting, education, and clinical collaboration, many have developed longitudinal, clinically grounded registries that reflect real-world practice. As demand for real-world evidence grows and new analytical capabilities emerge, these datasets are becoming more valuable and increasingly sought after.
Medical societies now face a clear and
Read More
How Virtual Care and AI Unlock Outcomes-Based Autism Therapy
For years, autism therapy has forced healthcare purchasers into a false choice: expand access or control costs.
But as diagnoses in the U.S. have climbed to one in every 31 children, demand for care has outpaced the supply of Board Certified Behavior Analysts (BCBAs), the profession's most highly trained clinicians. Providers are responding by prescribing more therapy hours delivered by larger teams of lesser-trained clinicians, while payors continue to reimburse them for every additional
Read More
Healthcare AI Governance: Moving from Data-Sensitivity Tiers to Reversibility Controls in Agentic Systems
Ashok Benial is right. His argument in these pages last week — that most hospitals are buying AI faster than they can govern it, that "the tools go live while the guardrails are still on a slide deck" — is the most useful thing anyone has said about healthcare AI governance this quarter. His three controls are the correct ones: validate locally against your own population, monitor for drift after go-live, and fund the human review layer as a control system rather than overhead. Every health
Read More
Healthcare Doesn’t Need Forward Deployed Engineers. It Needs Forward Deployed Operators.
The forward deployed engineer model, embraced across enterprise technology, is built on a seductive assumption: that the gap between a technology's potential and its adoption is primarily a technical gap. A missing integration. A misconfigured workflow. A feature not yet built. Fix the code, and the organization will follow.
In most industries, that assumption is partially right. In healthcare, it is almost entirely wrong.
In part, healthcare organizations contribute to the problem
Read More
