Remove Government Remove Patient Care Remove Risk Management
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The Responsible Path: How Risk Frameworks and AI Governance Work Together

Aidoc

While its potential to revolutionize patient care is undeniable (and increasingly being proven ), healthcare leaders remain acutely aware of the risks involved with implementation. 2,3,4 Each framework offers unique guidance tailored to specific aspects of AI risk management. Clinical AI represents a paradox.

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The Risks of Not Being Proactive with Healthcare Cybersecurity When It Comes to AI

Aidoc

healthcare systems, experienced a ransomware attack that took its IT network offline, disrupting patient care in 15 states. This presents a classic risk-reward challenge: while data is the foundation for AI’s capabilities, it simultaneously introduces considerable cybersecurity vulnerabilities.

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Understanding the Impact of Healthcare AI Regulations and Guidelines

Aidoc

We have a perfect storm of rapid adoption and implementation alongside government mandates for data codification and interoperability. The Maturation and Regulation of AI As outlined above, the rapid adoption and implementation of healthcare AI necessitates governance. What is the impact that we anticipate now and moving forward?