Week 7 - MBA 6601 -AI Supply Chain Management Future

Predicting supply purchases and demand of any product is very difficulty and makes a large play in profits for a company. With the growth of AI the two topics have room to grow and supplement each other. In the medical field that gets more complex having expiration dates, unpredictable patient diagnosis's and complaints,  or patients needs. In the MPH/MBA program it combine both medicine and business which gives a very different perspective adding a very important aspect that might be forgotten when taking care of patient. Using techniques like epidemiology and global health classes from the MPH allows a person to reasonably predict an outbreak or discover one fast so responses can effective. In addition the MBA allows for cost and management factors to come into play. This is important so resources can be management and projects can stay on task and completed. Part of a successful manager is being able to implement new technologies like AI. One way AI could play in both is via Supply Chain Management. 

Traditionally, forecasting demand in healthcare has been a challenging task, often leading to either shortages or surpluses of critical supplies. AI addresses this issue by continuously learning from real-time data inputs such as patient admissions, treatment protocols, and seasonal trends. Through advanced predictive analytics, AI models can anticipate fluctuations in demand, allowing hospitals and clinics to adjust their inventory levels accordingly. Moreover, AI can factor in unexpected variables like disease outbreaks or shifts in patient demographics, providing a level of adaptability that traditional forecasting methods struggle to achieve. As mentioned with the outbreak application, combining both the MPH and MBA program to use AI and Epidemiology techniques to correctly respond to events/outbreaks. 

Furthermore, AI-powered supply chain management not only enhances efficiency but also contributes to improved patient outcomes. By ensuring that medical facilities have the right supplies at the right time, healthcare providers can deliver timely interventions and treatments, ultimately saving lives. The ability to prevent over buying means that financial resources can be allocated more judiciously towards patient care and other critical areas of healthcare infrastructure. As AI continues to advance, its role in optimizing supply chain operations in the medical field will undoubtedly become indispensable, paving the way for a more resilient and responsive healthcare system globally.