Puppeteer

Streamlines patient data collection and improves engagement with personalized, human-like conversational AI experiences for healthcare providers and patients.
Conversational AI Healthcare Technology Patient Engagement Solutions

Puppeteer helps healthcare companies use large language model (LLM)-based conversational AI to improve patient and provider experiences. The service helps alleviate staffing challenges by offering patients and providers a highly personalized and human-like experience.

Puppeteer features include:

  • Patient Intake Forms: Patient data collection streamlined with customization options for clinics to improve efficiency and engagement.
  • Mental Health Companions: AI assistants that offer support and guidance to those seeking mental health help under the supervision of a psychologist.
  • Virtual Assistants: Personalized bots to improve patient engagement and efficiency.
  • System Prompts: Scheduled messages and reminders to patients, such as medication reminders and regular medicine intake reminders.
  • Customization: Full-featured solutions for building the best conversational bots, ensuring personalization, engagement and efficiency.
  • Integrations: Real-time API and database integration for easy integration with external systems, including SMS messaging platforms and EHR databases.
  • API-Based: Full control over user experience through front-end integration, allowing businesses to customize user interfaces for their brand needs.

Puppeteer pricing tiers include:

  • Starter: $1500/month, includes all text-based features, 100,000 monthly messages, 1 million stored messages, and 1 project.
  • Growth: $2500/month, includes all text-based and audio features, 200,000 monthly messages, 2 million stored messages, and 2 projects.
  • Enterprise: Custom pricing for custom needs.

Puppeteer is designed to revolutionize healthcare with HIPAA-compliant, secure, and data-driven conversational AI solutions. Healthcare providers can use these AI solutions to improve patient care while addressing staffing challenges.

Published on June 24, 2024

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