SHB logo graphic.pngSimulation Modeling

Smith Hager Bajo offers unique computerized simulation modeling tools for obstetric, neonatal, women’s, and pediatric facilities. The tools provide planners, architects, health executives, and others with a proven method to determine the appropriate number, type, and mix of beds/rooms for inpatient and outpatient obstetric, neonatal, women’s, and pediatric services.

Why use simulation?

The simulation modeling advances beyond the Poisson Mathematical Model and ratio formulas used to analyze bed needs. Simulation allows the testing and analysis of the impact of practice changes on both bed need and staffing requirements. For example, the analysis can take into account differences in census that occur by day of the week due to scheduled events such as inductions, non-stress tests, and cesarean births.

Examples of Results:

Computerized modeling is being increasingly used by hospitals and health systems to improve decision making. Recent decisions resulting from use of the Smith Hager Bajo model include:

  • Approval of a $28.4 million building project given demonstrated cost savings over initial cost projections; savings were achievable through changes in practice patterns and staffing identified through use of the model
  • Immediate approval of a contended Certificate of Need (CON) for a new obstetrics unit without a CON hearing
  • Confirmation of the number of obstetric and NICU beds needs for consolidation of two obstetric units
  • Identification of the number and types of beds needed for a 2,900 annual birth facility considering multiple types of delivery models (LDR, LDRP, combination LDR/LDRP); the model supported a data-based decision making process and helped the hospital determine the most efficient system for deliveries, beds and staffing

Smith Hager Bajo uses an assessment process to collect data used in the modeling. The assessment includes data collection and discussion of the various types of what if scenarios that should be run. The final product of the simulation process is a written report that describes the assumptions, results and potential implications of the results.