Case Study: Kane Wound Care achieves 95% reduction in manual work and 90% improvement in coding accuracy with Nividous

Kane Wound Care Automates Medical Coding and Billing Process with Nividous’ AI-Powered RPA Bots

Kane Wound Care, a group of over 30 clinicians serving about 1,500 patients weekly across roughly 100 long-term and assisted living facilities, struggled with slow, error-prone manual medical coding and billing that put timely Medicare payments and revenue at risk. To address this, Kane Wound Care engaged Nividous and its AI-powered RPA Bots to automate the complex coding process.

Nividous’ AI-powered RPA Bots analyze wound documentation, generate accurate billing codes, and create invoices or file reports into EMRs, reducing manual errors and freeing staff for patient care. The Nividous solution delivered measurable impact: a 95% reduction in manual work, a 90% improvement in coding accuracy, and an 85% faster process turnaround, with expected increases in revenue and cash flow.

Kane Wound Care