In this video Ofer Derech, CTO at MilagroAI, explains the technology they use to automate revenue cycle management tasks and surveillance for things like hospital acquired infections that are traditionally performed manually. The tool analyzes both structured and unstructured data, converting varying formats to standards such as SNOMED. MilagroAI then automatically identifies procedures and principal diagnoses, and finds the appropriate coding or surveillance data.
For instance, surgeons often discover during a procedure that they need to do something different from what the payer contracted to do. The hospital has only 72 hours to negotiate with the payer to approve the new procedure. Efficiency is clearly crucial, and manual processing is too slow.
Plus, government regulators are requiring more and more reporting from healthcare organizations. Much of the data that needs to be reported to government organizations comes from narrative sections inside EMRs. MilagroAI uses clinical data abstraction to identify key data elements from within this unstructured data.
Watch the video to see how MilagroAI handles tasks such as automating regulatory reporting and revenue cycle management.
Learn more about Milagro AI: https://www.milagroai.com/
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