It happens all the time: critical data is buried in the EHR and other platforms. By using AI, Navina analyzes the entirety of that information and illuminates pertinent history, making even the most complex cases reviewable in minutes.
Patient data today is typically located in different systems, stored inconsistently, and often mistitled, so finding relevant information can be challenging. Our algorithms read consult notes, hospital notes, labs, and imaging and arrange them for easy review, extracting essentials like hidden diagnoses, and allowing for a quick search of any term within scanned documents.
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Capturing accurate HCC coding for every patient places a significant cognitive load on already overburdened physicians. We optimize value-based results by creating a seamless workflow that reduces the burden on coders and physicians, and simplifies the identification and documentation of the relevant conditions. The result is accurate and measurable risk representation.
Every day, Navina's AI and machine learning algorithms read vast quantities of structured and unstructured data, and turn them into relevant and timely patient-specific recommendations. They include necessary vaccines, screenings, and medication refills—all of which improve compliance with quality metrics such as HEDIS.
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