The sheer volume of manual documentation and paperwork required for medical coding increases the risk of error, leading to improper payments after claims reimbursement. More than 100 million medical records are reviewed every year in the US, and providers are continually looking for more efficient ways to ensure accurate HCC coding.
A leading Arizona-based healthcare provider, one of the largest nonprofit healthcare systems in the country, realized that it needed a comprehensive data and analytics platform to provide automated coding support by integrating EHR data and using analytics to identify any coding and care gaps that might exist.