We use principles of systems thinking as well as a variety of evidence-based
conceptual models to better understand complex problems in dynamic environments,
so we can engineer effective solutions.
Key elements of systems science include:
- Eliminating waste and errors
- Conducting multi-method needs assessments and root cause analyses
- Evaluating risk and reliability of designed solutions
Examples of our work in systems science include:
- Ambulatory Re-Design
- Always Quiet at Night Root Cause Analysis