Christina Mouradian, Shaghayegh Norouzzadeh, Nancy Riebling, Martin E. Doerfler, USA
There is tremendous potential for discrete event simulation to be utilized as a primary resource to aid critical decision-making throughout the healthcare industry . Due to the inherent complexity within this domain, successful buy-in is highly dependent on the partnership that exists between the system engineers and stakeholders. This study uses an adaptive resource modelling approach coupled with a key partnership to uncover the hidden truths within an outpatient endocrinology practice. Key performance indicators were traced to enhance system performance and optimize resource utilization. Based on the findings various improvement scenarios were proposed such as modifying resource scheduling, patient volume and resource capacity. Ultimately, the optimal improvement option presented a 30.7%, 8.5% and 46% improvement in wait time, provider efficiency and patient throughput, respectively.