Transform healthcare with open source machine learning. HIPAA-compliant.

Rasa provides leading healthcare organizations with open source tools to build AI assistants with privacy built-in

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Conversations with patients are rarely just one question and one answer.

Build contextual AI assistants that can handle back-and-forth, and host them securely on your HIPAA-compliant infrastructure.

AI assistants can support your members throughout the whole lifecycle. Examples of conversational use cases:

  • Choose the right health plan
  • Change contract details like address
  • Check the status of claims
  • Answer questions about billing

Transform your hospital and improve patient and staff experience with AI-powered assistants. Examples of conversational use cases:

  • Consult patients before surgeries
  • Schedule appointments
  • Collect feedback from patients
  • Optimize internal processes like medical coding

Improve the patient experience through AI assistants that make your life easier. Examples of conversational use cases:

  • Onboard new patients
  • Schedule appointments
  • Remind patients for appointments
  • Collect feedback from patients

Empower your staff with an AI-powered co-worker. Examples of conversational use cases:

  • Answer questions about medication
  • Order new medication
  • Keep track of delivery status
  • Remind patients to take medication

Reduce the friction of using your app or content with AI powered assistants. Examples of conversational use cases:

  • Onboard new users
  • Manage contract details like payment info
  • Upgrade to new plans
  • Handle repetitive customer support questions

HIPAA-compliant with full control over data and IP

Keep your customer data secure with HIPAA-compliance, maximum data privacy and security measures.

Advanced NLU and dialogue management

Customize and train language models specifically for healthcare and medical terms. Manage back-and-forth dialogues with machine learning.

Integrate & securely deploy anywhere

Integrate Rasa into existing backend systems and data sources. Deploy Rasa on-premises, or on your private cloud.

Case Study

Incorporate HIPAA-compliant natural language understanding for better women’s health

Tia logo

The Challenge

Tia is a San Francisco-based women’s health startup. Their natural language app allows users to ask health questions and has been downloaded thousands of times.

In the healthcare space HIPAA compliance is crucial, meaning Tia would have had to build their own natural language understanding AI. Developing this from scratch takes months and requires specific AI and machine learning expertise.

The Solution

Tia built their conversational natural language understanding on the Rasa Stack. Tia’s product team consists of engineers, data scientists, product managers and designers, some of whom don’t have Python coding experience. For instance, Rasa Platform’s intuitive user interface enables product managers to label training data, providing faster iteration cycles and ease-of-use.

Next Step

Tia’s system was established in just a few days and without a research team. Using Rasa, the company could focus primarily on designing a compelling user experience. Now, the company is able to continuously add new training data and learn from real user interactions, which continually improves accuracy.

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