Digital sales automation for healthcare

How to create outlook signature

in this demonstration you will observe how a medical coder with the help of a bot and natural language processing can more accurately code a claim faster than manually reading through the documentation this allows claims to be coded with increased accuracy less errors submitted to insurance companies at a faster rate reduces delays and denials due to incorrect coding thereby increasing cash flow to the organization watch now as the bot logs into an emr and searches for the patient the bot navigates to the patient's chart and extracts and displays the clinical data in a pop-up text box the nlp-based algorithm will now recommend icd-10 codes to the coder based on the documentation or clinical note associated with the visit the clinical notes and the proposed icd-10 codes are now organized into a pop-up window so the coder can review without having to toggle through multiple screens at this point the coder will check the correct code or codes and hit submit emma's average handling time is reduced by 35 percent the robot has reduced denied claims due to coding errors by 75 percent reduction in aht and coding errors enhances cash flow by 25 emma is more efficient and productive which improves overall patient and provider satisfaction