CallScribe AI

ABSTRACT

The exponential growth of voice-based medical interactions presents a significant challenge for research, pharmacovigilance (PV), and quality compliance teams. CallScribe AI (Call2Text) is a specialized, cloud-native SaaS solution designed to automate the ingestion, transcription, and analysis of vast audio datasets from clinical and customer support channels.

Introduction

CallScribe AI addresses these challenges by providing an automated Python-based pipeline that integrates directly with cloud telephony and generative AI models. The platform ensures that critical insights, ranging from Adverse Events to Product Complaints are captured, summarized, and routed to stakeholders with minimal manual intervention.

Solution Overview

CallScribe AI is a multi-layered platform that integrates with cloud infrastructure to act as an intelligent intermediary for voice data. It begins by automatically ingesting MP3 or WAV recordings from AWS S3, then utilizes advanced AI engines to provide high-accuracy, multilingual transcription.

The system’s core strength lies in intelligent categorization, automatically sorting interactions into four streams: Adverse Events (AE), Medical Inquiries (MI), Product Quality Complaints (PQC), and Others (O).

Business Impact

• • Operational Efficiency: Reduces manual transcription and review effort by up to 80%, allowing teams to focus on medical assessment rather than data entry.
• • Regulatory Compliance: Ensures 100% of calls are screened for safety signals, mitigating the risk of missed Adverse Event reporting.
• • Scalability: The modular design allows the system to scale effortlessly across multiple clients and higher call volumes without performance degradation.
• • Data-Driven Insights: Real-time dashboards provide analytics on call trends, volume, and categorization accuracy.

Product Objectives