Shadow AI Is the Fastest Growing Force in Medicine, and Hospitals Are the Only Ones Who Can Control It
If trust, transparency, and accountability remain core values in medicine, AI governance cannot be left to improvisation.
Healthcare Needs Software That Handles a Messy Reality
The problem is not that companies have failed to make easy-to-use applications. Rather, it’s that there have been limitations to what software can realistically do in a modern healthcare environment.
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From Blind Spots to Better Outcomes: How SNF Data Transparency Strengthens LTSS
What if health plans could identify member decline before an avoidable hospitalization occurs? Real-time clinical visibility into long-stay SNF members uncovers risk earlier and drives better outcomes.
Augmenting the Systems That Support Patient Mobility
Automation in healthcare gains value when it strengthens the conditions that allow clinicians to practice at the top of their training.
Imprivata CEO: AI Agents Need the Same Scrutiny as an Unvetted Contract Nurse
Imprivata CEO Fran Rosch said AI agents should be treated similarly to the way hospitals treat a new contract nurse — vetted, monitored and then cut off as soon as the job is done.
Is Radiology at a Structural Breaking Point? What Will Move It to a Better Future?
The path forward requires much more than whack-a-mole point solution replacement. It requires a more critical look at redesigning the entire workflow architecture
The Healthcare Inflection Point: AI Can’t Fix 1990s Technology
Isolated improvements rarely translate into enterprise-wide transformation when they are layered onto outdated, inefficient workflows instead of being integrated into redesigned care delivery.
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.
AI Won’t Transform Health Systems, CEOs Will — 6 Principles to Drive the Transformation
If AI is not one of the CEO’s top two or three priorities, the organization will produce pilots and slide decks while better-mobilized peers pull ahead and the institution’s ability to fulfill its mission erodes
Reading the Body’s Signals: AI’s Ultimate Healthcare Opportunity
We are on the cusp of an age of anticipatory medicine, an explosion in our ability to read the body's signals and catch the killers before they do their damage.
Stop Pitching the Institute — Pitch the Stack
Health-tech pilots don't usually fail because the product is bad. They fail because the system was never wired to absorb it.
Before You Sign That AI Contract: 7 Questions Every Healthcare CFO Should Ask
Here's how finance leaders can evaluate AI investments in revenue cycle management before committing budget, and the risk exposure most vendor pitches leave out.
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The Healthcare Payments Industry Faces a Perception Challenge
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Modernizing Payment Integrity in an Era of Systemic Fraud
Gaps in reimbursement oversight and recovery will only widen, unless plans modernize how they detect, investigate, and recoup improper payments.
Rural US Healthcare Has A Cybersecurity Problem — CMS Funding Can Help Fix the Part No One Sees
Rural hospitals need trained people, tested backups, downtime procedures, clinical continuity planning, and staff who know what to do when an alert fires. A framework won’t substitute for that work, but it helps organize it and makes progress measurable.
Healthcare Is Deploying AI Tools — It’s Not Ready for AI Colleagues
Most healthcare organizations are experimenting with AI. Few are preparing to manage AI agents as participants in everyday healthcare workflows.
Better Models Won’t Fix Pharma’s AI Problem — Better Terminology Will
The bottleneck in AI-enabled real-world data analysis is not computation, model architecture, or training data volume. It is the semantic layer over which the AI is trying to reason – the place where precise clinical meaning lives.
Healthcare Keeps Buying AI. But Nobody’s Building the Workforce to Run It.
Most younger professionals entering the workforce have little visibility into interoperability, digital health infrastructure, or healthcare data architecture as career pathways.