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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Protecting Patient Privacy in the Age of Digital Healthcare: A CISO’s Perspective

Protecting Patient Privacy in the Age of Digital Healthcare: A CISO’s Perspective

Healthcare has become a prime target for cyberattacks—not just because of outdated systems, but because of the immense value of Protected Health Information (PHI).

From a Chief Information Security Officer’s (CISO) perspective, safeguarding patient privacy is no longer just a compliance obligation; it’s a core pillar of organizational trust, operational resilience, and patient safety.

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Moving Beyond Hype to Real Value: Measuring Artificial Intelligence (AI) Return On Investment (ROI) in Healthcare IT

Moving Beyond Hype to Real Value: Measuring Artificial Intelligence (AI) Return On Investment (ROI) in Healthcare IT

Artificial intelligence (AI) has firmly established itself as a strategic priority across healthcare organizations. From clinical decision support to revenue cycle optimization, AI promises transformative gains.

Yet for many executive teams, a fundamental question remains unresolved: how do we measure real return on investment? The challenge is not a lack of data—it is a lack of clarity.

Traditional Return on Investment (ROI) models struggle to capture AI’s multidimensional impact, particularly in complex healthcare environments where financial, clinical, operational, and compliance outcomes are tightly intertwined. To move beyond experimentation and into scaled adoption, healthcare leaders need a more disciplined and holistic approach to measuring AI value.

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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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