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.
Case Studies
Automation of a Seamless Integration of Dealer Track for Credit Application Submission Process Consolidation for a Leading Financial Services Provider
Case Studies
Discover how we helped America’s largest telecom network provider increase their data storing and distribution capabilities from 250 TB to 1.9 PB and enable 95% data availability to improve their data management processes while reducing costs.
Case Studies
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.
Case Studies
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.
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