Automating Medical Coding and Billing with Nividous’ AI-Powered RPA Bots
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Kane Wound Care has implemented Nividous' AI-powered RPA bots to automate medical coding and billing processes, enhancing efficiency and revenue management across over 100 facilities in New Jersey, New York, and Pennsylvania. This automation reduces manual work by 95%, improves coding accuracy by 90%, and significantly decreases process turnaround time, allowing healthcare providers to focus on patient care. The solution solves challenges around accurate Medicare payments by swiftly coding and billing from patient documentation, minimizing administrative burdens and the risk of revenue loss.
Automating Medical Coding and Billing with Nividous’ AI-Powered RPA Bots
- 1. Kane Wound Care Automates Medical Coding and Billing Process with Nividous’ AI-Powered RPA Bots +1 (442) 444 2767 contactus@nividous.com www.nividous.com Organization This customer is a group of over 30 physicians, nurse practitioners, and physician assistants dedicated to the practice of providing wound care services. They offer their services to patients in their homes and residents in long-term, subacute facilities and assisted living facilities. They are servicing approximately a hundred of these facilities throughout New Jersey, New York, and Pennsylvania, managing 1500 patients weekly. Processes automated Medical coding and billing Industry Healthcare “Nividous’ AI-powered RPA Bots allowed for frictionless medical data retrieval to complete complex coding that is required to ensure fast, maximum Medicare payment. The automation has also enabled us to file reports directly into our customer’s EMR (Electronic Medical Record) system within 24 hours thus cutting down on their administrative burden. With the success of this automation, we are anticipating a significant increase in revenues and overall cash flow for our business.” Founder & CEO Kane Wound Care Challenges Prompt and correct payment through Medicare is important operational aspect for all healthcare providers. The process of manually analyzing clinical documentation—charts and notes—and determining which codes are relevant to a specific case was highly tedious and time consuming. The process required dedicated skilled coders to manually deal with over 70,000+ codes that fall under different categories to generate proper invoices daily. Such complexity and related changes can cause inaccuracies in medical coding delaying the overall operations and can also result in improper payments. This customer wanted to eliminate the potential loss of revenue from inaccurate coding. Moreover, from a revenue cycle management perspective, it was crucial that the coding for billing was done quickly and with one hundred percent accuracy to avoid rejection/non-payment of claims. Benefits Reduction in manual work 95% Improvement in coding accuracy 90% Improved process turnaround time 85% Solution Nividous’ AI-powered RPA Bots are deployed to code thousands of charts on a weekly basis with ease and efficiency. The Bots with native machine learning capabilities understand and analyze each patient’s wound documentation to create billing codes that are then used to create proper invoices. The invoicing/payment process can be accomplished via an external billing company, dedicated system or can all be taken care of in-house. This automation has helped in reducing the risk of manual errors, improving overall process efficiency, and allowed medical personnel to spend more time focusing on patient care and more complex coding scenarios. For more information on how healthcare professionals use Nividous platform visit: https://nividous.com/case-studies#healthcare