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"Reimagining Healthcare Privacy in an Era of Security Demands"

As threats of data breach grow in number and severity, healthtech companies must keep abreast of privacy-preserving analytics and sensitive-data filtering.

Healthcare providers and healthtech companies must remain vigilant in their efforts to secure protected health information, particularly as sophisticated threat actors are on the rise and data privacy rules continue to evolve.

More stakeholders than ever are responsible for healthcare data privacy, a reality that is partially complicated by the use of AI and machine learning tools. With so many players having access to protected health information (PHI), upholding data security while providing advanced capabilities like user-consent workflows, privacy-preserving analytics, and sensitive-data filtering is critical.

In this playbook by Skyflow, a major player in the cloud-based platform space, experts discuss data privacy trends and best practices, including:

• Cybercrime and risk mitigation
• Dynamic access control and contextualized data
• Privacy-preserving analytics, including tokenizing and data redaction

Offered Free by: Healthcare Dive's studioID and Skyflow
See All Resources from: Healthcare Dive's studioID and Skyflow