We built intelligent bots to read patient intake forms completed on or before the day of visit. These bots validate insurance eligibility and automatically create or update the patient record in the electronic health record. This solution improves the patient experience by accelerating the new patient intake process.

We built a solution that leverages RPA, NLP, and ML/AI to audit medical records and validate that minimum data sets are completed with consistency. This helps facilitate compliance with programs like PDPM and leads to greater quality of care. It also saves staff valuable time and minimizes risks by increasing confidence in the audit process.

Using a solution that leverages RPA, NLP, and ML/AI to audit medical records and validate that minimum data sets are completed with consistency. This helps facilitate compliance with programs like PDPM and leads to greater quality of care. It also saves staff valuable time and minimizes risks by increasing confidence in the audit process. In addition, the system evaluates records and recommends possible missing medical codes.

Using a solution that leverages RPA, NLP, and ML/AI to automate the files download process and indexing process. Our smart Bots connect to a custom Cloud Application that uses a Machine Learning model, image recognition and customizable business rules to ensure the extracted data is presented with the highest possible accuracy. In addition we create a custom report with information on the amount of documents processed and their results.