Automating Patients’ Document Management for a Leading Healthcare Specialty Infusion Provider
We are impressed that the Nividous Bots have achieved over 94% accuracy on data classification and extraction from the patients’ documents. With the Nividous Platform’s proprietary native IDP capabilities, the complete automation of classifying and extracting data from patients’ bulk documents and updating the data into an existing EMR application has accelerated the process completion time by 75% and allowed us to improve productivity by 85%.
Director, IT Software Solutions
A Leading Healthcare Specialty Infusion Provider
Classification and split accuracy
Data extraction accuracy
Improvement in productivity
Faster processing time
Seconds per page processing time
Industry
- Healthcare
Processes Automated
- End-to-end process of classifying, extracting and updating patients’ data with the Nividous Platform’s proprietary native IDP capabilities.
Automation Highlights
- End-to-end process of classifying, extracting and updating patients’ data with the Nividous Platform’s proprietary native IDP capabilities.
Automating Patients’ Document Management Process
The manual process of sorting bulk documents (received via Fax and emails) and finding patients’ information to update in the EMR application was highly time-consuming. The Nividous intelligent automation platform, with its proprietary native IDP capabilities, was deployed to automate classifying and extracting data from patients’ bulk documents and updating the data into an existing EMR application. The customer has achieved significant improvements in the process completion time and an impressive data extraction accuracy level of over 94%.
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