Fixup Health Introduces Automated Insurance Claim 'Billing Engine'

Preparation Time Reduced from 10 Minutes to 3 Minutes in U.S. Pilot Operation

Fixup Health announced on August 12 that it has integrated a 'billing engine' that automates insurance claim processes into its AI-based remote rehabilitation treatment monitoring (RTM) solution.

The billing engine provides a service that processes the entire insurance claim workflow within the RTM solution, from insurance eligibility verification to claim generation, submission to the insurer, and management of claim status, all based on clinical data generated during the remote treatment monitoring process.

The billing engine verifies more than 40 items in advance within the solution, including ▲insurance company and patient information ▲RTM-related service codes (CPT codes) ▲patient diagnosis codes (ICD-10 codes) ▲claim requirements ▲date of service (DOS), among others, and separately classifies only items that are missing or require additional confirmation.

FixupHealth announced on the 12th that it has introduced a 'billing engine' that automates insurance claim processing into its solution. FixupHealth

Previously, staff at medical institutions had to manually collect patient and treatment data scattered across multiple systems and enter it manually. According to Fixup Health, the billing engine has reduced the number of items that need to be manually reviewed by staff by approximately 80%. Additionally, after a two-month pilot run at medical institutions in the United States, the time required to prepare a claim per patient was reduced from around 10 minutes to about 3 minutes, and the claim success rate reached up to 96%.

Currently, Fixup Health’s solution supports a total of six RTM service codes. The company plans to further develop the solution so that it can also be used for remote management and insurance claims for chronic diseases, including diabetes, in the future.

Rim Sangwon, CEO of Fixup Health, said, “The key is to reduce cumbersome tasks by utilizing data already recorded in the solution, while also increasing accuracy from the start by catching errors before claims are submitted. Our ultimate goal is to complete the claim process within one day.”

This content was produced with the assistance of AI translation services.