Personalized healthcare explanations of a patient-doctor match
An AI workflow that extracts PII data and match evidence then summarizes to the user why a patient was matched with a specific provider, highlighting factors like insurance, condition, and symptoms.
This agentic workflow generates a structured SOAP note from a medical transcript by extracting subjective and objective information, assessing the data, and formulating a treatment plan.
Agent that summarizes lengthy reports (PDF -> Summary)
This agent summarizes a PDF document by processing its contents through the Vellum Document API and generating a user-friendly summary. It allows users to input a document ID and receive a concise summary of the document's text.
This agent generates a synthetic dataset for testing an AI pipeline by creating test cases based on user-defined parameters. It allows users to specify the purpose of the AI pipeline, the number of test cases to generate, and any additional context, then outputs the test cases formatted as an API request body.