ehr security

Researchers at the University of Oxford have published a benchmarking study showing that modern AI tools — including Microsoft’s Azure de‑identification service and GPT‑4 — can automatically detect and redact many personally identifiable data elements from real-world electronic health records...

University researchers in Oxford have published a peer-reviewed–style evaluation that tests whether automated tools — both specialist de‑identification software and large language models (LLMs) — can reliably remove patient identifiers from real, routine electronic health records (EHRs), and...

Electronic health records (EHRs are now the operational heart of modern healthcare, but expanding clinician access without undermining patient safety demands a careful, risk-based redesign of identity, authentication, and access controls across people, devices, and applications. Background EHR...

Microsoft’s warning that “the Windows are wide open for bad actors” is not hyperbole—October 14, 2025 is a hard deadline for Windows 10 support, and the downstream effects for healthcare providers, regulated institutions, and any organization running large fleets of legacy applications are...