Retrospective Chart Retrieval and Review can help you achieve coding and documentation goals that contribute to your risk score accuracy.
Retrospective programs discover missed documentation opportunities not submitted to CMS in the previous measurement year, for both historical and suspected conditions. Our solution leverages data-driven algorithms, machine learning, and AI technologies alongside our team of AHIMA and AAPC-certified medical coders to maximize retrospective initiatives and reduce the total cost of ownership.
From fax and mail to remote EMR and onsite collection—retrieval processes are designed to be streamlined and integrated into a provider’s existing workflows. The online portal allows plans to monitor retrieval rates and provider issues throughout the entire process.
Our team of certified medical coders work with NLP technology to provide quality assurance and maintain a 95% accuracy and completeness standard. The web-based review and coding application ensures a 100% review of all identified codes to reduce RADV audit risk and internal quality assurance conducts two annual third-party audits. Data is returned as EDPS supplemental records for submission to CMS.
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Podcast: The Science of Predicting Member Conditions
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Podcast: RADV Final Rule
