Aurum.ai Transforms Patient Engagement with Intelligent Voice Assistant

Industry:
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Aurum.ai is an innovative healthcare technology company focused on improving patient care and clinic efficiency through advanced AI solutions. They sought to revolutionize how medical clinics handle patient communication and appointment management.

Reviewed on
5/5
24/7

AI-powered patient support

60
%

Reduction in call handling time

95
%

Patient satisfaction rate

10
+

Custom Tools Built

The Challenge

Aurum.ai faced several critical challenges in modernizing their medical clinic operations:

  1. Need for efficient 24/7 patient communication without increasing staff workload
  2. Requirement for a system that could handle complex medical scheduling and inquiries
  3. Necessity to integrate with existing Electronic Health Record (EHR) systems
  4. Demand for a solution that could adapt to various medical scenarios and clinic-specific protocols
  5. Importance of maintaining HIPAA compliance and data security
  6. Desire for a system that could scale across multiple clinic locations

These challenges required a sophisticated, AI-powered solution that could understand and respond to diverse patient needs while seamlessly integrating with existing healthcare systems.

What did Autosend do?

Autosend partnered with Aurum.ai to create a cutting-edge AI Voice Assistant tailored for medical clinics:

  1. Custom AI Voice Assistant Development: Engineered a sophisticated AI assistant capable of natural language processing and generation, specifically trained on medical terminology and clinic protocols.
  2. Dynamic Scenario Handling: Implemented a system to dynamically load and respond to various medical scenarios, allowing for clinic-specific customization.
  3. Transient Assistant Technology: Created a transient assistant system that could adapt its knowledge and behavior based on the specific context of each call.
  4. Multi-Location Support: Designed the system to scale across multiple clinic locations, with the ability to handle location-specific information and protocols.
  5. HIPAA-Compliant Architecture: Ensured all data handling and storage met strict healthcare privacy standards.
  6. Intelligent Call Routing: Implemented smart routing to direct complex inquiries to human staff when necessary.
  7. Continuous Learning and Improvement: Set up systems for ongoing analysis of call data to refine and improve the AI’s performance over time.

The Results

The technology that we use to support Aurum.ai

Custom Natural Language Processing models
Vapi.ai for voice AI integration
Pipedream
Node.js
Airtable
Javascript
Python
HIPAA

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