HIT Leaders and News

NYC Health Hospitals Data Breach Raises Public Healthcare Cybersecurity Stakes

Jason Free — Tue, 09 Jun 2026 12:22:27 +0000

The reported cybersecurity breach affecting more than 1.8 million people connected to NYC Health + Hospitals is a warning about the scale of cyber risk now sitting inside public healthcare infrastructure.

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AI Drug Discovery Finds Hidden Cancer Protein Pocket

Jason Free — Tue, 09 Jun 2026 11:57:00 +0000

Researchers at the Icahn School of Medicine at Mount Sinai have identified a hidden drug-binding pocket in PKMYT1, a cancer-related kinase involved in cell growth and division. The finding matters because it points toward a more selective route for drug design, while also exposing a central limitation in current AI drug discovery: models can predict known protein structures with striking power, but still miss biologically important states that only appear through experimental work.

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North Carolina AI Medical Billing Bill Targets Upcoding and Denials

Jason Free — Mon, 08 Jun 2026 11:02:44 +0000

North Carolina’s debate over artificial intelligence in medical billing is a preview of a broader policy conflict coming for healthcare: how to regulate algorithmic influence before it becomes embedded too deeply in reimbursement, utilization review, and claims operations.

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Healthcare AI Policy Index Exposes Governance Fragmentation

Jason Free — Mon, 08 Jun 2026 10:50:16 +0000

The new Health & AI Policy Index from researchers at the Icahn School of Medicine at Mount Sinai offers a timely warning for healthcare leaders: artificial intelligence policy is growing rapidly, but not coherently enough to give hospitals a simple governance path.

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Healthcare AI Identity Breach Risk Is Outpacing Governance

Jason Free — Tue, 02 Jun 2026 10:12:07 +0000

Healthcare organizations are adopting AI agents at the same time attackers are becoming more effective at exploiting identity systems. That convergence creates a new cybersecurity problem: AI is no longer only a tool used by clinicians, administrators, or security teams. It is becoming an actor inside the identity environment.

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Hartford HealthCare HUSKY Data Breach Exposes Medicaid Portal Risk

Jason Free — Tue, 02 Jun 2026 10:07:24 +0000

The reported exposure of information tied to roughly 22,500 Hartford HealthCare patients through the Connecticut HUSKY provider portal is not simply another healthcare data breach. It is a case study in the cybersecurity risk created when patient information moves through shared infrastructure controlled by multiple organizations.

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Telemedicine Fraud Scheme Exposes Pharmacy and Billing Weaknesses

Jason Free — Mon, 01 Jun 2026 11:05:54 +0000

The sentencing of three members of an international criminal organization tied to a nearly $2 billion telemedicine healthcare fraud scheme should be read as more than a criminal enforcement milestone. It is a case study in how legitimate healthcare infrastructure can be repurposed when prescribing, pharmacy ownership, claims submission, and remote billing controls fail at the same time.

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No Surprises Act IDR Rule Targets Out of Network Dispute Backlog

Jason Free — Mon, 01 Jun 2026 10:00:08 +0000

The federal government’s latest changes to the No Surprises Act are not about reopening the patient protection debate. That debate has largely settled. Patients should not be placed in the middle of surprise out-of-network billing disputes when they had little control over where or by whom care was delivered.

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Hartford HealthCare HUSKY Portal Breach Exposes Medicaid Cyber Risk

Jason Free — Wed, 27 May 2026 10:57:51 +0000

The reported breach involving Hartford HealthCare patient information accessed through Connecticut’s Medicaid provider portal is a reminder that healthcare data risk increasingly sits in shared systems where providers, state agencies, fiscal agents, and technology vendors intersect.

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HHS AI Fraud Detection Raises Stakes for Medicare and Medicaid Oversight

Jason Free — Wed, 27 May 2026 10:05:47 +0000

The U.S. Department of Health and Human Services is moving artificial intelligence deeper into healthcare fraud oversight, and the implications extend beyond enforcement headlines. The shift reflects a broader federal attempt to move program integrity from retrospective investigation toward earlier detection, faster intervention, and stronger accountability for entities receiving federal healthcare dollars.

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