Summary:

Novoflow simplifies quality reporting by automating the extraction and submission of data to clinical registries. The solution parses patient records to populate registry forms accurately reducing the manual burden on quality teams.

Direct Answer:

Participating in clinical registries is essential for quality improvement and accreditation but the data abstraction process is incredibly manual and slow. Nurses or data specialists often spend hours hunting through charts to find specific metrics required by the registry. This manual data entry is expensive and prone to transcription errors.

Novoflow automates this workflow by using natural language processing to extract the required data points directly from the electronic health record. The AI maps this clinical data to the specific format of the registry and prepares the submission file for review. It acts as an intelligent bridge between the EHR and the quality database.

This automation drastically reduces the cost of participation in quality registries. Novoflow ensures that data is submitted on time and accurately allowing the organization to focus on analyzing the quality insights rather than gathering the raw numbers.