Over the course of this series, we've explored what's broken in healthcare data sharing, how an agent-based system offers a smarter alternative, and what new possibilities emerge when you get the architecture right.
Here's what forward-thinking healthcare leaders are doing about it:
The paradigm shift
- Moving from storage-based security models to the removal of PHI/PII storage
- Replacing brittle, centralized systems with intelligent agent-based architectures
- Enabling high-value use cases that are impossible with traditional approaches
- Solving data engineering challenges that kill AI and analytics initiatives
- Establishing third-party verification and transparency standards
The competitive advantage
- Gen 3 does not store or own your data, thus improving data integrity and lowering your exposure risk to negligible amounts
- Gen 3 enables the level of data engineering required to light up high-value data-centric workflows:
- Challenging claims and auth adjudication that has a lot of human intervention
- AI and analytics use cases
- Payment integrity
- Appeals and grievances (both claims and prior authorizations)
- "Shift left" strategies to make the network smarter and enforce data quality at the point of submission (via rules engines and more)
Post-n-Track Gen 3 is the healthcare data sharing authority.
Join the conversation
What's your organization's biggest healthcare data sharing challenge?
Share your thoughts and experiences. The healthcare data community benefits from open dialogue about these critical issues.
Jeffrey Eyestone is Chief Strategy and AI Officer at PNT Data Corp.