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
See how Aidan cut wait times at MDLive/Cigna by 50%

What do we need from you?

Simply provide your company’s patient/customer volume data, a few key factors that you think influence your demand and our solution 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

Start your free trial today!

Our Freemium Forecasting plan offers a free analysis on your data. Instructions are found through our Freemium Forecast User Manual

Sign up to see for yourself the capabilities of AIDAN and how they can revolutionize the healthcare and manufacturing industry.

Forecasting as a Service

Автор: Aidan Health