What is an important measure for safely handling sensitive patient information in AI-driven practices?

Implementing data privacy and security measures is crucial in AI-driven practices because these measures protect sensitive patient information from unauthorized access and breaches. In an environment where artificial intelligence processes large amounts of healthcare data, ensuring that proper security protocols are in place helps maintain patient confidentiality and comply with regulatory standards such as HIPAA (Health Insurance Portability and Accountability Act).

Robust security measures can include data encryption, access controls, secure data storage, and regular audits to identify and mitigate vulnerabilities. By prioritizing these practices, healthcare organizations can instill trust among patients and safeguard their personal health information against potential cyber threats or data leaks, which is especially important in an era where cyberattacks on healthcare systems are increasingly common.