AIMEE: An AI Nurse Who Never Stops Listening

Meet AIMEE: Your AI Nurse Companion

Older man smiling while talking on the phone

Empathetic

Talks to you like a trusted friend—patient, kind, and always listening.

Consistent

Calls regularly to check on you, ensuring zero gaps in follow-up.

Guiding

Helps with meds, symptoms, and instructions, providing clear guidance.

Preventive

Alerts your care team if something doesn't feel right, enabling early intervention.

Making aging easier with daily conversations that monitor,support, and prevent readmissions.

The Reality of Aging

Older woman looking worried, holding pill bottles

"I wish someone would just check on me. I forget to take my meds some days. What did the doctor mean by that instruction?"

Every day, older adults feel forgotten by a system that expects too much from them - alone.

What It Feels Like to Use AIMEE

"I told her I felt short of breath. My doctor called within an hour"

- Satisfied Patient

"I finally understand my discharge papers. She explained it so clearly."

- Relieved Patient

"I didn't forget today's meds, AIMEE reminded me."

- Grateful Patient

"I don't feel alone anymore. I know someone is checking on me."

- Supported Patient

Outcomes That Matter to Clinicians

Group of medical professionals smiling and discussing

Nurse Workload Reduction

AIMEE handles routine touchpoints, freeing nurses to focus on medical care.

Population-Level Insights

Provides structured, symptom-level data on patient populations, actionable at scale.

Structured & Actionable Reports

Instant summaries sent to dashboards (EHR compatible) for quick review and action.

Proactive Escalation

Reliable notifications for symptom onset, ensuring quick response times and preventing readmissions.

Scalable Monitoring

One nurse can now oversee hundreds of patients with AIMEE handling the routine.

EHR Integration Ready

Seamlessly fits into existing clinical workflows (FHIR-compatible).

How AIMEE Works

Step 1: Enrollment and Risk Classification

Each patient is enrolled with basic demographics, medical history, and post-discharge instructions.
Patients are categorized into High, Medium, or Low risk based on medical history, vitals, and conditions.
Call frequency is tailored to risk level.

Diagram showing Patient Enrollment, Risk Stratification, and Call Frequency

Diagram showing Call Initiation, Natural Language Conversation, and Symptom Collection

Step 2: Outbound AI-based Phone Calls

AIMEE automatically calls patients at their preferred time.
Natural language conversation using empathetic language.
Protocol-based questions for symptom collection.
Follow-up questions for risk signals.
Confirms medication adherence and offers guidance on post-discharge instructions, medications, and symptoms.

Step 3: Inbound On-demand Phone Calls

Patients can call AIMEE 24/7 for Heart Failure education questions and post-discharge instructions.
Patients can initiate a call to report symptoms at any time, triggering the outbound protocol.

Diagram showing Patient Call, Patient Questions, Report Symptoms, End of Conversation, and Outbound Protocol

Diagram showing Symptom Classification into Stable, Follow-up, Critical, and Alerts to Dashboard

Step 4: Symptom Classification and Escalation

After each call, symptoms are classified as Stable, Needs Follow-up, or Critical.
Notifications are sent to a real-time dashboard for doctors and nurses, ensuring quick response times for critical cases.

Outcomes That Matter to Patients

Older man smiling while talking on the phone outdoors

AIMEE