WHITE PAPER:
Governance and Risk Management in AI-Driven Patient Care
The vast amounts of data required for AI-driven patient care are vulnerable to breaches and misuse. The rapid pace of technological advancement often outpaces governance frameworks, leaving organizations with outdated, reactive GRC strategies. These programs struggle to adequately address the complexities of data security, patient privacy, algorithmic transparency and regulatory compliance, leading to potential risks such as bias in AI-driven decisions, privacy violations and lack of accountability in patient care.
This means healthcare organizations must adopt AI-integrated GRC programs that use predictive analytics for real-time risk detection and compliance monitoring. These systems should ensure transparency, data security and ethical oversight through continuous audits and cross-disciplinary collaboration.
In this white paper, we’ll help you make a proactive, innovative GRC program that balance risk management and innovation to prepare healthcare organizations for the future. You’ll explore:
- How AI is transforming healthcare delivery and patient data
- How to navigate emerging AI risks in healthcare data management
- A checklist for AI-Enabled Healthcare Governance
See how to prepare for the next generation of Healthcare GRC.
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