We’re launching Agentic ED to provide a high-fidelity simulation layer for hospital operations.
The Context:
DispoRx is an application designed to reduce Emergency Department wait times by orchestrating real-time patient flow and coordination.
The Agentic Layer:
To ensure the system holds up in high-stakes environments, we’ve built LLM-based agents that log in and operate within the platform. These agents take on two primary roles: Attending and Consulting physician.
Allowing administrators to:
- Test workflow changes in a sandbox before deploying to production.
- Train staff on the platform using realistic, agent-driven simulations.
- Validate system performance under extreme load or surge conditions.
- Identify bottlenecks and optimization opportunities by observing how "agent-users" navigate the current workflow.
Standard testing tells you if your code works; Agentic ED tells you if your process works. We would love to hear your thoughts on using agentic users for QA and system validation!
We’re launching Agentic ED to provide a high-fidelity simulation layer for hospital operations.
The Context: DispoRx is an application designed to reduce Emergency Department wait times by orchestrating real-time patient flow and coordination.
The Agentic Layer: To ensure the system holds up in high-stakes environments, we’ve built LLM-based agents that log in and operate within the platform. These agents take on two primary roles: Attending and Consulting physician.
Allowing administrators to:
- Test workflow changes in a sandbox before deploying to production.
- Train staff on the platform using realistic, agent-driven simulations.
- Validate system performance under extreme load or surge conditions.
- Identify bottlenecks and optimization opportunities by observing how "agent-users" navigate the current workflow.
Standard testing tells you if your code works; Agentic ED tells you if your process works. We would love to hear your thoughts on using agentic users for QA and system validation!
Premature send - Also is there any logging or validation around why agentic decisions are being made?
This is a super interesting platform play. Question do you guys use synthetic data or how do you protect pii?
dk970