AI Didn’t Reduce Clinician Burden — It Just Moved It
Documentation tools have value. They solve a visible pain point well. But solving a visible pain point is not the same as solving the right one.
The Dangerous Illusion of the “Two-Week AI Expert”: A Call to Action Against Superficial Medical Education
If we choose the quick fix, let us be honest about the consequences: when an unexamined algorithm leads to a fatal diagnostic error, the blame will not lie with the black box. It will lie with us, because we were too reckless to teach the fundamentals when we still had the chance.
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Inside an Automated Healthcare Practice: Redesigning Care Around People, Not Paperwork
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
When Medicaid’s Data Can’t Verify Eligibility, Members Shouldn’t Lose Coverage
When verification fails and an eligible member loses coverage, treatment can be interrupted, medications can go unfilled and manageable conditions can become medical emergencies.
Work Requirements Put New Pressure On Medicaid Member Retention
By using existing data to better understand members and implementing retention strategies, plans can remain sustainable and members can get the care they need.
A Market, Not a Mandate, Is the Fastest Way to Bring AI Into Hospitals
The cost of waiting is not evenly distributed. Rural and critical access hospitals report under 50 percent adoption of even basic predictive tools, compared with 86 percent among top-tier system-affiliated hospitals. Every year without a bridge widens that gap, and it widens it fastest for the hospitals with the least room to absorb it.
Congress’s Patient Matching Fix Won’t Work — Here’s What Would
The MATCH IT Act aims to reduce patient matching errors. But a model used by vital records systems could provide a better solution.
The Hidden Administrative Tasks Draining Small Practices
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
Why SDoH Programs Fall Short — and What It Takes to Make Them Work
Throwing more money at SDoH programs isn’t going to magically fix them. Instead, plans should be focusing on building out these three specific capabilities that, together, can noticeably alter the playing field.
Your Product Works — So Why Does It Still Fail in the Real World?
A patient's automated risk score was reassuringly green. Pulling from a sparse medical record and infrequent acute visits, the model flagged him as low risk and routed him to the default, low-touch outpatient pathway — so why was the patient actively deteriorating?
The Impending End of Cross-Subsidization
There is no single solution to the cross-subsidization problem. But here are some strategic actions that can make a health system’s economics more sustainable.
How AI Is Connecting MedTech’s Data Without Compromising Compliance
The connected, agent-ready enterprise is the model that wins, where compliance and intelligence operate together.
Why Pharma Companies Should Look To Social Media For Better Patient Insight
Healthcare decision-makers, especially at pharmaceutical companies, must prioritize patient input. Data collected from social media listening is a significant step in the right direction.
Why the Future of Healthcare Depends on Reinventing Primary Care Access
What is needed is a fundamentally different operating model for primary care, one designed around continuous engagement rather than episodic encounters.
Why Agentic AI Works in Hospitals When You Strip It Down
Many hospitals are now trying to use AI to automate processes and free up staff time, running simultaneous pilots to perform as many tasks as possible. This quickly leads to pilot sprawl — a state where organizations can no longer even say which agents are still in active use.
What Life Sciences Commercial Teams Can Learn from Digital Health
The pace of change in digital innovation has exposed the ever-widening gap between digital health and Pharma commercial teams. As a result, Pharma is missing out on its ability to significantly improve its commercial model, by focusing on efficiencies vs. truly reinventing.
The Real Gap in All of Us Isn’t Consent, It’s Conversion
Why more than 300,000 missing patient records reveal an engineering problem, not a policy one — and why that's good news.
AI Won’t Fix Social Care, But Could It Help Us Finally Make It Work?
AI could play a meaningful role in advancing social care. Not by replacing people, but by helping them and organizations doing this work move faster, see patterns earlier, and coordinate more effectively.