Project Proposal Cleveland Clinic London

Automated Appointment Booking and Specialist Recommendation Chatbot

Automated Appointment Booking and Specialist Recommendation Chatbot: Cleveland Clinic London

Automated Appointment Booking and Specialist Recommendation Chatbot

Overview

Cleveland Clinic London is part of the renowned Cleveland Clinic health system based in Ohio, USA. Cleveland Clinic is consistently ranked among the top hospitals globally for clinical excellence and patient outcomes. The London location focuses on providing the highest quality specialty care to patients from the UK and around the world. With over 200 consultants and doctors, Cleveland Clinic London leverages the latest medical research, education, and technology to deliver outstanding care and service. 

To improve customer service and streamline the appointment booking process, we propose developing an AI-powered conversational chatbot.

Goal

  • Provide 24/7 automated appointment booking, rescheduling and cancellation services to improve patient experience.
  • Recommend the most appropriate specialist based on analysis of patient symptoms and conditions.
  • Optimize appointment routing and resource utilization at Cleveland Clinic London.

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Chatbot Features:

  • Natural language interface for intuitive patient interaction.
  • Integration with Cleveland Clinic’s scheduling system and doctor calendars.
  • Symptom checking conversation flow using medical ontologies.
  • Specialist recommendations based on symptom analysis.
  • Appointment confirmations, reminders and follow-ups.

Implemantation Plan

  • Build conversational framework and integrations.
  • Develop symptom analysis and specialist recommendation capabilities.
  • Test chatbot with patient use cases and feedback.
  • Deploy chatbot on Cleveland Clinic website
  • Continuous improvement and learning from patient interactions.

Benefits

  • Improved patient satisfaction through convenient 24/7 booking.
  • Patients see the right specialist sooner, improving health outcomes.
  • Reduced administrative costs of phone-based booking.
  • More efficient specialist scheduling and caseloads.
  • Valuable conversation data for improving services.

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