A follow-up that becomes the next appointment.

An AI-assisted recall and rebooking workflow that helps hospital teams reconnect with patients and bring missed appointments back into the schedule.

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BUILT FOR

Hospital administration and appointment teams

Illustrated overview of Patient Recall Agent

THE IDEA BEHIND THE BUILD

Start with a real problem.

01 / THE CHALLENGE

What needed to work better?

Recall lists, missed appointments, and follow-up messages can create repetitive work for hospital staff. The challenge is keeping patient outreach connected to the next scheduling action.

02 / THE SOLUTION

A connected way forward.

The agent identifies patients due for recall, supports automated follow-ups, and helps rebook cancelled or missed appointments. It connects patient re-engagement with the scheduling workflow.

WHY IT MATTERS

Designed to make the work easier.

Less repetitive follow-up work
A connected recall-to-rebooking process
More visibility into the next scheduling action

WHAT THE PRODUCT DOES

The useful parts, explained.

Core capabilities that turn the idea into a practical product.

Recall identification

Find patients due for follow-up using the connected recall information.

Automated outreach

Send follow-up messages through the communication workflow.

Appointment rebooking

Help patients return to the schedule after a cancellation or missed visit.

Connected operations

Bring AI, messaging, and scheduling data into one backend workflow.

HOW IT COMES TOGETHER

Follow the workflow.

Select a step to see how the project moves from input to outcome.

STEP 01 / THE WORKFLOW

Identify

Start with patients due for recall or needing a new appointment.

Illustrative workflow overview

THE PRODUCT

A closer look.

Explore the project visual in more detail.

Patient Recall Agent project showcase — Illustrative concept; dashboard values are demonstration content.

BUILT WITH

The technology behind the work.

The stack behind this project and its connected workflow.

NestJSOpenAI APIPostgreSQLTwilioAWS

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A follow-up that becomes the next appointment.