Why Settle for Acceptable Versus Optimal Outcomes?
New 3D printed technology makes lower extremity surgeons architects of restoration, not adaptation.
Building AI-Ready Public Health Data Systems for Faster, Safer Decisions
For years, the healthcare industry treated data collection as the main challenge. The next phase is about interpretation, coordination, and operational usability.
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Top 7 Modern AI-Powered EAP Providers for Global Workforces in 2026
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
Answers at the Speed of Thought: Healthcare Analytics in the Era of Agentic AI
We are moving into an era where we can finally converse with our data. We can ask, "Why are denials spiking in Region X?" or "Show me the safety profile of this cohort," and receive an answer, not a spreadsheet.
Off the Radar: How Unapproved AI Is Complicating Healthcare Cyber Risk
You cannot secure what you cannot see, and right now, healthcare organizations are accumulating hidden cyber liabilities with every keystroke.
Pharmacy Benefit Operations Infrastructure Must Rise to Regulatory Reform Standards
The PBM reform efforts are directional, not temporary. Meeting these expectations requires automated systems that can reconstruct claim logic on demand and provide real-time alignment between pricing, rebates and financial outputs.
Prior Authorization is a Fight and AI Won’t End It — Stop Pretending Otherwise
The honest question is not whether AI will end the fight. It will not. The honest question is what AI does to a fight that has been structurally imbalanced for 30 years.
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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.
Why the Future of IDR Depends on Smarter Technology
Focusing on fringe cases of abuse misses a more immediate and arguably more pervasive problem: many provider organizations are not getting the access to IDR they’re entitled to because the process is too difficult to navigate effectively at scale.
What Health Systems Miss When Building National Service Lines
Clinical integration is not achieved through governance structures alone. It depends on whether the organization has developed the operational capabilities required to execute consistently across markets that historically functioned independently.
Healthcare and AI are in Need of Relationship Counseling
Performing well in controlled settings is only part of the picture, the harder question is whether AI is being integrated into clinical workflows in ways that keep responsibility, authority, and accountability properly aligned.
The AI Use Case That Healthcare is Overlooking
AI performs best where a problem is well-defined, data-intensive, repetitive and operates at a scale that exceeds human tracking capacity. The supply chain hits all four.
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.
The Foundation Is Built — Now We Must Secure the Future of Interoperability
Patients, providers, and innovators all benefit from secure, trusted, nationwide data exchange. But this trust cannot sustain itself on fragmented governance or competitive enforcement dynamics.
The AI Playbook for Health Plans: 5 Steps for Leaders Who Don’t Know Where to Start
It starts with a simple mindset shift, realizing that a successful AI journey begins with identifying a business problem, not with technology. The plans that make real progress embrace this mindset first then follow these five steps.
Modernizing Program Integrity in Medicaid Self-Directed Care
States must rethink how program integrity is designed and delivered by focusing on four key priorities that enable oversight to scale alongside these programs.
Hospital Networks are Becoming Targets in Cyberwarfare, and They’re Unequipped to Deal With It
The question facing hospital cybersecurity leaders today is no longer whether they will be collateral damage in a broader war; it’s how to reckon with adversaries who will target healthcare for ideological or political reasons — hackers may not have any particular interest in quick resolutions.
What Happens When AI Stops Answering and Starts Handling Healthcare Tasks?
Patients are trying to navigate insurance confusion, coordinate care, manage prescriptions, and understand the following steps that often feel unclear. Static chatbots were never built for this level of responsibility. Agentic AI is. Or at least that is the idea.