How to build a Patient Support Agent
This agent unifies knowledge from official documents and EHR records to provide fast, reliable, and compliant responses to patient support queries.
Challenge
Support agents waste time searching multiple systems and documents to answer patient questions, leading to slow, inconsistent, or incomplete responses.
Industry
Healthcare
Department
Customer Success
Integrations
OpenAI
OneDrive
This agent streamlines telehealth support by combining patient messages with relevant information from both official documentation and electronic health records (EHR). When a patient submits a question, the agent automatically searches the official documents (such as policies, procedures, and support guides) and the EHR database for pertinent information. It then uses a large language model (LLM) to generate a clear, empathetic, and compliant response, ensuring that support reps can provide accurate answers without offering medical advice or making clinical promises. The final response is presented to the patient, improving both the speed and quality of telehealth support interactions.




