Case Study: a large healthcare organization increases patient throughput with BigBear.ai Process Simulator

Digital Twin Simulation Will Increase Standard of Care and Number of Patients Treated Daily

A large healthcare organization in the Baltimore-Washington area was facing significant delays at its infusion center, with a median cycle time of 136 minutes per patient. These long wait times limited the number of patients that could be treated daily and negatively impacted the patient experience. The organization partnered with BigBear.ai and leveraged its Process Simulator discrete event simulation software to identify the causes of the delays and model solutions to achieve its goal of drastically reducing cycle times.

Using BigBear.ai's simulation software, the organization identified key bottlenecks and tested new scheduling templates, which led to a potential 33% improvement in throughput. By standardizing orders and improving lab processes, the solution reduced patient and pharmacy cycle times by more than 50%. This allowed the infusion center to treat an additional 15 patients per day, amounting to over 5,000 more patients annually.