Use cases > Healthcare > Injury and illness incident report > Kareo

Automate Injury and illness incident report and Kareo with AI

Don’t transfer data from the Injury and illness incident report manually into Kareo, let AI do it for you. Manual Injury and illness incident report data entry and traditional OCR solutions are slow, expensive and error-prone. Most importantly, they waste valuable employee talent.
Rossum’s unique computer vision technology reads the Injury and illness incident report in a way that ensures fast data capture and greater accuracy with repeated use. Reduce costs. Eliminate tiresome data entry. Turn your team into a driver of efficiency and growth with Rossum.

There are many helpful software programs that are used by companies, such as Kareo. These programs provide many benefits, but data entry for them can be arduous, difficult, and burdensome when it is done manually. Not to mention, it can tie up workers for hundreds of hours per quarter. Rossum's data processing software automates data extraction and entry using computer vision technology. This releases your staff from having to do the bulk of the data processing tasks for your software programs. If you're ready to get rid of up to 90 percent of manual data entry and want to save time, money, and hassle, Rossum is the right option for you.

Rossum is an AI document gateway that solves four key steps in document-based processes simultaneously: receiving documents across multiple channels, automated understanding, two-way communication for exception resolution, and acting on the data using in-depth integrations.

In typical real-world scenarios, Rossum’s proprietary AI engine outranks narrower data extraction solutions in accuracy. Meanwhile, Rossum’s platform automates document communication processes end-to-end. Rossum’s goal for every use case is at minimum a 90% document processing speed increase.

Rossum is ISO 27001 certified and HIPAA compliant, with enterprise-grade SLAs ranging up to a 99.9% uptime guarantee and 24/7 support.

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