Mi-Life: Empowering Disability Services with AI Chatbot

At Goldie Floberg, caregivers juggle about 1,300 pages of critical info on client needs, policies, and procedures. It’s a big cognitive load, especially for new staff trying to get up to speed. To ease the mental strain and shorten the learning curve, they needed fast, reliable access to the essentials—so they could focus on what matters most: caring for clients.

That’s when they turned to Topflight to build a scalable, AI-driven, hands-free solution that would deliver the right information at the right time.

Quick Wins

Services Provided: AI Strategy & Consulting, Full-Cycle App Development, UX/UI Design, and Technical Implementation.

Services Provided: AI Strategy & Consulting, Full-Cycle App Development, UX/UI Design, and Technical Implementation.

Generative AI to the Rescue

Enter Mi-Life, a HIPAA-compliant, AI-powered mobile chatbot that revolutionized the way caregivers deliver care.

By empowering staff with real-time access to critical client data through a simple voice or text query, Mi-Life became the trusted ‘assistant’ caregivers needed to stay on top of medications, behavior plans, and emergencies—without ever relying on memory.

Key Features

Overcoming Technical Hurdles

Retrieving Client-Specific Data

Challenge: Accessing highly specific customer info.

Solution: We leveraged retrieval-augmented generation to index client data in a vector database, minimizing AI hallucinations and ensuring responses were always grounded in real data.

Minimizing AI Hallucinations

Challenge: Preventing the AI from generating inaccurate or irrelevant information when data is missing or unclear.

Solution: In addition to using RAG, we implemented several anti-hallucination mechanisms:

Real-Time Notifications and Reminders

Challenge: Ensuring that caregivers receive timely reminders for medication and critical tasks.

Solution: Mi-Life includes a robust notification system, dynamically updating schedules based on real-time data. This system integrates document parsing to generate reminders and updates the schedule dynamically based on new data.

Real-Time Interaction and Latency

Challenge: Reducing latency to create a fluid conversational experience.

Solution: Leveraging OpenAI’s real-time APIs to ensure caregivers can interact with the app seamlessly, improving adoption.

HIPAA Compliance

Challenge: Handling client data while maintaining HIPAA compliance.

Solution: The app de-identifies client data during processing and reinserts PHI only when needed, using tools like Azure OpenAI and BastionGPT for compliance.

Scaling for Multi-Tenancy

Challenge: Preparing Mi-Life for future scaling to serve multiple healthcare organizations.

Solution: Mi-Life’s backend was designed with multi-tenancy in mind, ensuring it’s ready for expansion beyond Goldie Floberg.

Fewer Errors, Happier Staff, Better Outcomes

Mi-Life didn’t just solve a technical problem—it transformed caregiving. With real-time client data access, staff no longer rely on memory, significantly reducing human error. The results speak for themselves:

We’re evolving Mi-Life to make it even more powerful:

What’s Next for Mi-Life

© 2023 Topflight LLC. All rights reserved. Topflight is an equal opportunity employer.
© 2023 Topflight Foundation. Topflight Foundation is a 501(c)(3) and all donations are tax-deductible. EIN 82-2671514

Mi-Life is a HIPAA-compliant, AI-driven tool revolutionizing group home care by enhancing data access, reducing errors, and improving staff satisfaction.

Mi-Life demonstrates how healthcare apps can leverage Generative AI to enhance care delivery, reduce errors, and improve staff satisfaction in group home environments.

A Common Challenge, A Universal Solution

Goldie Floberg’s challenges aren’t unique. Group homes and mental health facilities worldwide face the same issues: overworked staff, the need for precise, real-time info, and pressure to maintain high care standards. Mi-Life offers a scalable, replicable solution for healthcare organizations facing similar hurdles.

Before Chatbot