When it comes to ensuring accuracy, enhancing efficiency and overall customer satisfaction, DME providers come to us. This case study will let the results speak for themselves.
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Apria Healthcare
Case Study
Notable Systems' IDP solution uses machine learning to process and extract the most relevant information from your documents. We use natural language processing and optical character recognition technologies for custom data extraction, document classification, and automated document routing for improving your business processes.
Slow Turnaround
Low Accuracy
Fast Turnaround
High Accuracy on Critical Fields
Recovered Revenue
IDP systems and robotic process automation (RPA) are used in conjunction with our client’s internal team, helping extract the most sensitive data from any document type.
For example, we:
Rapidly process and audit medical device orders, including handwritten prescriptions, demographic/payer information and medical records.
Extract and validate data from financial statements and documents.
Streamline your clinical trial data collection process by using Notable Systems to convert physician notes, patient-filled forms, charts, etc. into digital information. Extract and validate data in any form–structured, unstructured, typewritten, even handwritten!
“We have been so impressed by Notable's excellent customer support and just how quickly and dramatically we’ve been able to see results.”
Lindsey Moon
Director of Support Services
“There's a significant man-hour reduction. Notable saves us five minutes a statement.”
Dave Griesbauer
Director of Business Intelligence
“Enovis can now send—within minutes—emails to our hundreds of sales personnel around the U.S., letting them know if an order is 100 percent complete or if more data is required.”
Birt Stem
Vice President of Automation/Sales Solutions