Leading Integrated Healthcare & Medical Services Network

Healthcare ops

Leading Integrated Healthcare & Medical Services Network

45% Growth Inbound Call Handling

The challenge.

A leading multi-specialty hospital network operating across Mumbai, with each hospital branch functioning as a separate unit. Its helpline manages general patient enquiries, OPD appointments, emergency transfers and health-checkup scheduling across the city.

Key Challenges

Fragmented contact points: Separate landline numbers for each branch caused confusion and made it difficult for patients to reach the right hospital.

High call abandonment: Morning appointment rushes led to missed calls, with no intelligent overflow or callback mechanism.

Decentralized doctor information: Separate doctor schedules across branches required agents to switch between multiple systems to check availability.

Inconsistent service quality: Individual helpdesk operations lacked standardized processes and centralized quality monitoring.

Limited AI-driven insights: No real-time visibility into call quality, patient sentiment, compliance or team performance.

What we built.

KServe implemented a centralized, AI-powered patient support system to streamline communication and improve service delivery across all hospital branches.

– Unified 24×7×365 Helpline: Consolidated all branch contact numbers into a single helpline, supported by a dedicated, cross-trained team handling general enquiries, OPD appointments, emergency transfers and health-checkup scheduling.

– Intelligent Call Management: Deployed an intelligent dialer to route calls to available team members, manage peak-hour call volumes and trigger automated callbacks for eligible abandoned calls, helping reduce missed patient enquiries.

– AI-Powered Doctor Knowledge Base: Introduced a RAG-powered chatbot with a centralized database of doctor schedules across all branches. Agents can search using natural language to find relevant specialists and available appointment slots, with support for spelling corrections and vague queries.

– AI-Driven Customer Experience Monitoring: Implemented an AI CX Enhancer to analyze calls, detect patient sentiment, monitor compliance and assess service quality.

– Real-Time Performance Dashboards: Enabled team members, team leaders and management to monitor operational performance, identify service gaps and make data-driven improvements.

Results

Business outcomes.

40% Reduction Average Handling Time
45% Growth Inbound Call Handling 50% → 95%
2x Growth Appointment Conversion 25% → 45%
25% Growth Conversion on Paid Campaigns 40% → 65%
90% Reduction After-Call Work 90–180 seconds → 20 seconds
Next step

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