Track: Life Sciences
ML-Driven Demand Planning in a Post-COVID Healthcare Environment
Throughout the COVID pandemic, healthcare providers have faced unique supply chain disruptions which limit their ability to predict demand for supplies and procedures. An abundance of COVID affected patients has overwhelmed hospitals, challenging their ability to supply, maintain and meet patient demands for life-saving medicines and interventions.
In this case study, we’ll consider the impact of COVID on supply demand from the perspective of patients awaiting orthopedic procedures due to decreased hospital capacity and availability of implants. Along the way, we will endeavor to show that next generation planning models driven by tenders data, artificial intelligence (AI) and machine learning (ML) can help healthcare providers to navigate the difficulties of a post-pandemic world.