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About Silene Bench
Silene Bench simulates a year-long primary care environment where AI agents must manage recurring patients, rare diseases, chronic conditions, and operational constraints. The practice includes delayed consequences, capacity planning, and changing conditions over time. Users can either run the practice themselves or observe a model’s performance. The benchmark focuses on whether AI agents can make sound long-term clinical and operational decisions while still identifying rare disease cases. A future update will allow users to connect their own AI systems to the same practice environment.
Key features
- Year-long practice simulation
- Recurring patient management
- Rare disease case inclusion
- Chronic disease handling
- Capacity planning tools
- Delayed consequence modeling
- Changing operational constraints
- Observational and active modes
Use cases
- Evaluating AI agents for primary care decision-making
- Testing long-term clinical and operational strategy
- Benchmarking AI performance in rare disease detection
Pros
- Simulates long-horizon clinical scenarios
- Includes rare disease cases and chronic conditions
- Tests operational decision-making under constraints
- Supports both active and observational modes
- Designed for evaluating AI agents in healthcare contexts
Cons
- Limited to primary care scenarios
- No support for custom AI harnesses yet
- Observational mode only for non-participants
- Focuses on long-term rather than acute care
Frequently asked questions about Silene Bench
What does Silene Bench do?
Silene Bench simulates a year-long primary care environment where AI agents must manage recurring patients, rare diseases, chronic conditions, and operational constraints. It evaluates whether AI systems can make sound long-term clinical and operational decisions.
Who is Silene Bench for?
Silene Bench is designed for researchers, developers, and organizations working on AI systems for healthcare, particularly those focused on primary care decision-making and long-term clinical management.
How can I use Silene Bench?
Users can either run the practice themselves or observe a model’s performance within the simulated primary care environment. A future update will allow users to connect their own AI systems to the same practice environment.
What does Silene Bench measure?
The benchmark focuses on whether AI agents can manage delayed consequences, capacity planning, changing conditions over time, and identify rare disease cases while making sound clinical and operational decisions.
Can I integrate my own AI system with Silene Bench?
Currently, users can run or observe the practice. A future update will enable users to connect their own AI systems to the same practice environment for evaluation.
What kind of conditions does Silene Bench simulate?
The benchmark includes recurring patients, rare diseases, chronic conditions, and operational constraints to test AI agents' decision-making capabilities in a realistic primary care setting.
