Azure Many Models Forecasting: 6-Wk Implementation

Predict Patient & Customer Volumes Healthcare Advanced forecasting has been foreign to healthcare. The retail, manufacturing, and military industries all do it, but there has been no push to integrate these strategies into healthcare - until now. The COVID-19 pandemic has shocked our system, radically transforming operations and priorities. It is time to stop making our best guesses and incorporate more sophisticated analysis into healthcare decisions.

Industrial & Manufacturing Given the evolving landscape of industrials and manufacturing, how can we revamp our operations to maximize efficiency, productivity, and innovation? We need to explore novel strategies, such as process optimization, automation, and supply chain management, to streamline our manufacturing processes and enhance overall performance. By leveraging cutting-edge technologies and implementing robust quality control measures, we can ensure the highest standards in production and deliver superior products to our customers. Additionally, it's crucial to foster a culture of continuous improvement and employee empowerment, encouraging cross-functional collaboration and embracing new ideas. Through these initiatives, we aim to strengthen our position in the industrials and manufacturing sector, drive sustainable growth, and adapt to emerging market trends. Our solution Our strategy harnesses the power of Artificial Intelligence and Machine Learning to predict demand and ultimately optimize your staff, healthcare, equipment, and overall assets. With a free trial, understand which factors influence your patient demand prediction. We consider historical patient volume data, factors that you include, as well as external data sources.

The ultimate benefits of a forecast:

• Decrease decision lead time
• Anticipate demand surges and avoid bottlenecks
• Optimize staff and schedule smarter
• Improve customer experience
• Improve operations and financials

Customers provide their company’s patient/customer volume data, a few key factors that they think influence demand and we will do the rest of the work. No protected health information (PHI) requested. Here are the data submission requirements:

• Must record patient/customer volume
• Factors that you think will influence demand - load this data up too
• Collected by day or week
• At least 2 years of historical data

Aidan utilizes Azure Machine Learning along with various other Azure resources to create a forecast that helps customers make better decisions.