pLOG

2025-09-03

"Pharma Voice": An Intelligent Voice Architecture for Pharmaceutical Call Centers

In the pharmaceutical industry, call center systems face challenges such as high information volume, repetitive workflows, and the need for real-time responses. "Pharma Voice" integrates AI speech recognition, natural language understanding (NLU), and database connectivity to provide pharmacies, clinics, professional associations, and hospitals with an efficient voice customer service solution, automating the process of querying structured voice data.

【PatientsForce Technology Spotlight】

Core Technologies and Operational Workflow

The core technology of "Pharma Voice" is a multi-layered processing architecture designed to convert voice input into precise data output:

  1. Voice Input and Recognition (ASR):The system automatically answers incoming calls and uses AI-powered Automatic Speech Recognition (ASR) to convert the caller’s spoken words into text. This process is optimized for pharmaceutical terminology to ensure high accuracy.
  2. Natural Language Understanding (NLU):The converted text is processed by the NLU module, which can identify the intent of the statement (e.g., “check business hours” or “verify stock availability”), extract entities (e.g., “Da’an District, Taipei” or the name of a specific medication), and recognize relevant keywords.
  3. Database Integration and Query:Based on the intents and entities identified by the NLU module, "Pharma Voice" automatically connects to backend databases in real time. These databases may include structured information such as pharmacy business hours, clinic schedules, professional association event calendars, or hospital department details.
  4. Intelligent Logic Processing:The system features a built-in logic engine that makes decisions based on query results and predefined rules. For example, if a queried pharmacy is currently closed, the system will prioritize announcing its business hours or offering alternative nearby locations that are still open.
  5. Voice Response Generation (TTS):The query results are converted into standardized text, which is then transformed into clear, natural-sounding speech using Text-to-Speech (TTS) technology to provide responses to the user.
  6. Live Agent Escalation Mechanism:For complex statements that the NLU cannot accurately interpret, or when the user explicitly requests human assistance, the system triggers a live agent callback service. This ensures uninterrupted service and logs unresolved queries for subsequent analysis.

Data Value and Business Applications

Every call handled through "Pharma Voice" is recorded and analyzed. The backend system automatically generates multidimensional data reports, such as:

  • Query Pattern Analysis: Statistics on popular queries by time or region, providing insights into user needs.
  • Hotspot Regional Distribution: Analyzing the regions queried by callers to assess market activity and demand intensity across different areas.
  • Issue Type Classification: Categorizing caller intents to identify common user questions, enabling organizations to optimize public information and service workflows.

These data enable organizations to shift from reactive responses to proactive decision-making, elevating the call center from a simple service channel to a data source with valuable market intelligence.

With its automated, standardized, and data-driven architecture, "Pharma Voice" offers an efficient, scalable, and high-value solution for pharmaceutical customer service.