Accurate entries are a must for emergency department coders. Manual processes not only slow down coding but also leave a lot of room for error which can lead to compliance issues and high costs. The customer wanted an automated error prediction solution for their emergency department to accurately report and predict errors and their resulting costs.
An in-depth analysis of the customer’s existing processes revealed certain challenges.
Apexon leveraged our competencies in AI to come up with a tailored solution for this client which could:
The deep learning-based solution delivered various benefits to the customer.
Learn how we assisted a Danish business conglomerate with activities in the transport, logistics and energy sectors to implement a centralized Data warehouse to improve their data quality, analyze the business trend and performance.
Discover how we aided a leading US bank holding company headquartered in Michigan with capability enhancements that ensure a long-term process that reduces data anomaly and mismatch errors, improves operations, and mitigates risks.
Learn how we assisted a leading revenue cycle management services company in the United States in identifying opportunities to improve documentation while also modifying and automating its reconciliation and quality procedures.
Learn how we helped a large physicians group based in the US use deep learning models to improve error identification by 3x and reduce financial leakage by 40%.
Get in touch and let’s start a conversation!