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Revolutionizing Patient Support: How an Indian Hospital Chain Enhanced Patient Experience & Reduced Support Costs by 60% with Kipps AI

Industry: Healthcare
Use Case: Patient Support & Engagement
Winning Features:

  • AI-Powered Chatbot
  • 24/7 Automated Support
  • Appointment Scheduling
  • CRM Integration
  • Multichannel Engagement
  • WhatsApp Chatbot
  • Voice Call Service

Objective

An Indian hospital chain aimed to enhance patient engagement and streamline support processes. Their primary goals were:

  • Improve response times for patient queries.
  • Automate appointment scheduling and follow-ups.
  • Reduce dependency on manual support and lower operational costs.
  • Provide multilingual support for a diverse patient base.

Requirement

The hospital chain faced key challenges in patient communication:

  • High Support Costs: Managing a large support team was expensive.
  • Delayed Responses: Patients experienced long wait times for assistance.
  • Fragmented Systems: Multiple communication channels lacked centralization.
  • Scalability Issues: Handling increased patient inquiries was difficult without hiring additional staff.

Solution

By integrating Kipps AI’s chatbot, the hospital chain transformed patient interactions:

  • AI-Powered Chatbot: Provided instant responses to FAQs, reducing support load.
  • Automated Appointment Scheduling: Patients could book or reschedule appointments without human intervention.
  • 24/7 Availability: Ensured round-the-clock support for medical queries and emergencies.
  • CRM Integration: Enabled seamless tracking of patient interactions and medical history.
  • Multilingual Support: Enhanced accessibility for non-English-speaking patients.
  • WhatsApp & Web Chat Integration: Allowed patients to engage via their preferred platforms.
  • WhatsApp Chatbot: Enabled direct patient communication, appointment booking, and follow-ups via WhatsApp.
  • Voice Call Service: Automated voice responses for appointment reminders and emergency queries, improving accessibility for elderly patients.

Impact

Operational Efficiency:

  • 60% Reduction in Support Costs by automating repetitive inquiries.
  • 40% Faster Response Times leading to improved patient satisfaction.
  • 24/7 Accessibility improved engagement and trust.

Patient Engagement:

  • 2x Increase in Appointment Bookings through automated scheduling.
  • 35% Higher Retention Rate due to proactive follow-ups.
  • Seamless Multichannel Experience led to a frictionless patient journey.

Conclusion

With Kipps AI, the Indian hospital chain successfully optimized patient support, reduced costs, and enhanced engagement. By leveraging intelligent automation, they created a more accessible, efficient, and patient-friendly experience.


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