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.

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Preserving Patient Safety with Healthcare IT/ Part 1- Preventing Medical Gaslighting & Diagnostic Errors

Preserving Patient Safety with Healthcare IT/ Part 1- Preventing Medical Gaslighting & Diagnostic Errors

Based on the Emergency Care Research Institute (ECRI) and the Institute for Safe Medication Practices (ISMP) 2025 Patient Safety Report, the top five patient concerns in healthcare are medical gaslighting, diagnostic errors, insufficient AI-governance, medical misinformation, and cybersecurity and data privacy concerns. Since patient safety is such a mission-critical topic for our clients, we are going to do a multi-blog series addressing the safety challenges in healthcare and their IT solutions, entitled “Preserving Patient Safety with Healthcare IT.” Medical gaslighting and diagnostic errors will be covered in Part 1 of the series.

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The Hidden Cyber Risks of Cloud, Vendors, & Connected Medical Devices

The Hidden Cyber Risks of Cloud, Vendors, & Connected Medical Devices

Healthcare organizations have made major progress in digitizing care, improving interoperability, and expanding access through cloud services and connected devices. But with that progress comes a quieter, more complex cybersecurity challenge: the biggest risks are no longer only inside the hospital network.

They now live in the cloud platforms that store and process data, the vendors that support critical workflows, and the connected medical devices that increasingly share the same digital environment as core clinical systems. In healthcare, cybersecurity is now inseparable from patient safety, operational continuity, and organizational trust.

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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.

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