Preserving Patient Safety with Healthcare IT/Part 3 - Preventing the IT Snowball Effect with Insufficient AI Governance

Preserving Patient Safety with Healthcare IT/Part 3 - Preventing the IT Snowball Effect with Insufficient AI Governance

Patient safety is the core promise every healthcare organization makes to its community. In a world of EHR modernization, cloud migrations, and aggressive AI adoption, that promise now depends as much on healthcare IT and governance as it does on bedside care. As AI-driven tools move from pilots to production—supporting triage, diagnostics, documentation, and operational decisions—the uncomfortable truth is that governance has not kept pace with innovation. That gap is now a direct patient safety risk, not just a technology risk.

Read More
Navigating Technology Headwinds - Current State of AI & Regulatory Compliance in Healthcare

Navigating Technology Headwinds - Current State of AI & Regulatory Compliance in Healthcare

The current state of AI and healthcare regulation is defined by rapid clinical adoption, a surge of new rules, and a shift from experimental pilots to tightly governed, “trustworthy” systems integrated into existing medical‑device law. To ensure patient safety, additional AI‑specific safeguards are needed around transparency, lifecycle management, data governance and data security.

Read More