Premier Healthcare​: Reducing the hands-on workload in invoice processing with AI​

Scaling up automation’s impact

Premier used UiPath Document Understanding™ and machine learning to reduce manual steps from 85% to just 15% of the invoicing process. This was a 7x improvement in efficiency. The new automation can process about 1,000 invoices daily, so it only needs one employee instead of six. Premier can now handle more invoices with little staff change. This saves a lot of money and makes the company run smoother.​

We ended up with a complete inversion of manual to automated ratios. Instead of 85% of the invoices involving a person, 85% were fully automated. So that’s a pretty remarkable advancement.

Nolan Sanders · Director of Software Engineering at Premier Healthcare

Outcomes:

• Remarkable efficiency: Premier's use of UiPath Document Understanding and machine learning made invoice processing seven times more efficient. This reduced the amount of time that humans had to do this from 85% to 15%.

• Scalable solution: Premier's automated system can handle more invoices easily. This helps them grow with little staff change.

• Human resource optimization: One person can now process up to 1,000 invoices a day, much less than the six people they used to need.

Additional resources

Join UiPath and speakers from global healthcare organizations to explore their automation journey implementations. Watch the Healthcare Summit from FORWARD + TechEd.