Life Science companies can enhance document processing operations by automating FDA Form 483 with AI. Increase speed and accuracy of responding to FDA Form 483 when compated to manual document processing.

Augmenting the document processing pipeline is a key step towards meeting their goals of providing the highest standard of HCLS services. Built by using AWS cloud-native services, including Amazon S3, AWS Step Functions, and Amazon SageMaker. Deployed in the client's own AWS environment using Terraform, trained on the client's data.

The Provectus IDP solution is a highly accurate ML model for observation classification, ensuring that it will return precision and recall of no less than 70%, to automate a significant portion of the labeling, mapping, and review of observation forms. We can also include an end-to-end ML infrastructure with CI/CD pipelines and all integrations for user-friendly management of documents in PSC Biotech’s existing pipeline and worflows.

Provectus has a comprehensive suite of AI/ML products, including an intelligent document processing (IDP) solution. Given the expertise in provisioning of AI/ML services, PSC Biotech has chosen Provectus to develop an IDP solution for automated classification of FDA form observations.

The IDP solution from Provectus will decrease the time spent on manual review of observations, optimize processing costs, and increase accuracy and throughput of document processing while mitigating risks of infractions made by mappers and reviewers.