Why the Gen 3 Agent-Based System Beats Legacy Healthcare Solutions
In my first post, I made the case that the current healthcare data sharing infrastructure is fundamentally flawed — plagued by security gaps, poor interoperability and data quality, and outdated architectures. Now, I turn to the heart of the solution: a platform built around an agent-based system that outperforms legacy solutions.
The Legacy Healthcare Solution Problem
Most traditional healthcare data sharing solutions follow a one-size-fits-all model that wasn’t designed for today’s needs. This results in processing delays, poor visibility into transaction status, and limited data transformation capabilities creating friction at every stage. These platforms fall short on supporting AI, automation, and advanced analytics, all while introducing avoidable risk. Oftentimes, legacy solutions retain large data stores for product development and or sale.
The Agent-Based Advantage
Post-n-Track Gen 3 reimagines data sharing architecture utilizing a catalog of agents. Each one performs a specialized function, working together to enable a faster, smarter, and more secure system:
- Data Access and Delivery Agents: Enabling data, connectivity, routing and delivery
- Data Integrity Agents: Combating risk through security and compliance enforcement without data retention
- Data Transformation Agents: Performing formatting and conversion across data sources, types and content
- Data Quality Agents: Enforcing real-time validation and rules engine(s) edits and requirements
A Security Model Built for Now
This architecture represents a true leap forward in data security and data risk management.
By eliminating long-term data residency, Post-n-Track Gen 3 removes the breach risk associated with stored PHI/PII. Transactions are processed in real time, without creating a persistent data footprint or introducing unnecessary liability. Data access is scalable, data transformation improves interoperability, and data quality improves overall performance of downstream processes. Every step is tracked and governed, without the vulnerability of legacy solutions.
The Bottom Line
Agent-based architecture doesn’t just outperform legacy solutions, it enables speed, security, and flexibility making new use cases possible. By eliminating long-term data residency and enabling secure, real-time data sharing, Gen 3 unlocks a new generation of scalable, secure, healthcare data sharing.
Next in the series, I will highlight high-value use cases that are difficult to support with legacy solutions but now fully enabled by agent-based systems.
Jeffrey Eyestone is Chief Strategy and AI Officer of P-n-T Data Corp.