Focus your Performance Improvement Efforts Through Process Simulation

Each hospital is different, with different presenting acuities, infrastructure, diversion policies, availability of specialists and admitting times. What may improve the safety, outcomes, patient satisfaction and revenue in one hospital may have no effect on a second hospital. 

Example 1: Hospital A is a medium acuity hospital with about 22% of patients being admitted. Hospital B is a low acuity hospital with about 4% of patients being admitted. With all other factors identical, including the number of patients arriving at each hospital and the physician schedules, simulation predicts that the results of adding beds in Hospital A are radically different than adding beds in Hospital B

Example 2: Hospital C is a medium acuity hospital that is having issues with the metric “Time to see a Physician”. The current process is for a triage nurse to greet the patient and then triage them to acuity 1 to 5. The physician then sees the patient in the order of acuity. The physicians are concerned that the time to see them is too long and would like to investigate other methods of triage. Given the unique environment of Hospital C, what would be the best solution? Simulation predicts: (Incidentally, once the initial simulation was created, this analysis took less than 15 minutes)

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