Case Study

Emma – Empowering Patients After Discharge

 
From Patient to Innovator

After enduring three years of a chronic condition with limited answers, I found hope through a comprehensive program at Mayo Clinic in Jacksonville, Florida. This experience not only provided clarity but also highlighted a significant gap in continuous patient support post-discharge. Recognizing the potential of AI to bridge this gap, I embarked on creating Emma—an AI agent designed to offer ongoing education and support to patients and their families.

The Challenge

Patients often leave healthcare facilities with a wealth of information but lack the tools for continuous engagement and support. This disconnect can lead to confusion, non-adherence to treatment plans, and increased readmission rates.

Introducing Emma

Emma is an AI-powered agent developed to provide:

  • Personalized Education: Tailored information to help patients understand their conditions and treatments.

  • Continuous Support: 24/7 assistance to address concerns and reinforce care plans.

  • Family Engagement: Resources to involve family members in the care journey, ensuring a supportive environment.

Impact of Agentic Support Tools

Implementing AI agents like Emma in healthcare settings can lead to:

  1. Reduced Readmissions: Continuous engagement helps patients adhere to treatment plans, decreasing the likelihood of complications that necessitate rehospitalization.

  2. Enhanced Patient Satisfaction: Immediate access to information and support fosters a sense of empowerment and trust in the healthcare process.

  3. Improved Health Outcomes: Ongoing education and support contribute to better management of chronic conditions and overall health.

Visualizing the Benefits:  See More