Aïda
CASE STUDY • AI Product Builder • June 2026

Shalom Recovery AI

An AI assistant prototype providing support for patients after surgery between discharge and follow-up through daily check-ins and routine guidance.

AI Knowledge & Prompt DesignUser Flow MappingUI PrototypingMVP Development
Sprint 2nd Place Shalom AI — Post-Op Support Powered by AI
TARGET USERS & AUDIENCE

Post-operative surgical patients during home recovery seeking answers to common recovery questions and routine schedule support.

THE PROBLEM

After surgery, patients often have questions about routine recovery, daily healing patterns, and keeping track of medication and follow-up appointment schedules.

MY ROLE

I contributed to the product idea, user flow, AI knowledge and prompt design, and the MVP prototype.

WHAT WAS DESIGNED & BUILT

A post-operative AI assistant MVP prototype featuring daily check-ins, answers to common recovery questions, and medication or appointment reminders. (Future phase concepts such as provider dashboards, authentication, risk scoring, follow-up workflows, and alerts were kept separate).

OUTCOMES & RECOGNITION

Sprint 2nd Place — Earned Second Place in the Healthcare Innovation Sprint.

METHODS & TOOLS
AI Knowledge & Prompt DesignUser Flow MappingUI PrototypingMVP Development
01 // CONTEXT

Overview

A team project exploring support for surgical patients during home recovery between hospital discharge and follow-up, centered on an AI assistant for recovery questions and routine support.

Core Objective: Delivering a functional, high-value solution addressing verified real-world needs at Livingstone College and beyond.
02 // THE CHALLENGE

Problem Statement

After surgery, patients often have questions about routine recovery, daily healing patterns, and keeping track of medication and follow-up appointment schedules.

Affected Stakeholders

Post-operative surgical patients during home recovery seeking answers to common recovery questions and routine schedule support.

03 // OWNERSHIP

My Role & Responsibility

I contributed to the product idea, user flow, AI knowledge and prompt design, and the MVP prototype.

Key Competencies Demonstrated: Problem Discovery, User-Centered Design, Technical Execution, and Rapid MVP Delivery.
04 // METHODOLOGY

Process & Execution

1

Explored patient communication needs during the critical transition between hospital discharge and follow-up.

2

Mapped user flows centered on routine support and daily post-operative check-ins.

3

Designed AI knowledge and prompt structures to provide clear answers to common recovery questions.

4

Built out the interactive MVP prototype featuring daily check-ins and reminder schedules.

5

Delivered the prototype for the Healthcare Innovation Sprint.

05 // DELIVERABLE

Solution & Core Features

A post-operative AI assistant MVP prototype featuring daily check-ins, answers to common recovery questions, and medication or appointment reminders. (Future phase concepts such as provider dashboards, authentication, risk scoring, follow-up workflows, and alerts were kept separate).

Applied Technologies & Methods
AI Knowledge & Prompt DesignUser Flow MappingUI PrototypingMVP Development
Interface Specification: Mobile prototype screens showing conversational daily check-ins and recovery question interactions.
06 // IMPACT & REFLECTION

Results & Learnings

Earned Second Place in the Healthcare Innovation Sprint.

Delivered a focused, working MVP prototype for post-discharge patient support.

Established a clear product scope separating core prototype features from future provider integrations.

KEY TAKEAWAYS & LESSONS LEARNED

"How to design AI prompts and user flows for supportive health environments while maintaining clear boundaries around completed prototype scope."

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