MedAI Case Study

Public product case study for MedAI, focused on architecture, process, and lessons learned.

Context

MedAI is a healthtech AI product initiative focused on structured decision-support workflows and safer product delivery patterns.

This repository is not the private product codebase. It is a public, sanitized case study describing product context, architecture thinking, workflow design, and lessons learned without exposing source code, decision logic, sensitive content, or proprietary data.

Topics

• problem framing;
• AI product architecture;
• data and workflow considerations;
• stakeholder communication;
• grant-backed product development;
• lessons from early-stage healthtech product work.

Prototype Evidence

A private Flutter / FlutterFlow prototype archive was reviewed locally and used only to extract safe, high-level metadata for this public case study.

Publicly shared:

• framework and architecture notes;
• sanitized screen map;
• high-level product workflow;
• safety and privacy notes;
• lessons learned.

Intentionally not shared:

• source code;
• decision-support logic;
• implementation details;
• private datasets;
• production configuration;
• sensitive UI text or screenshots.

Structure

docs/
  01-problem-context.md
  02-product-workflow.md
  03-architecture-notes.md
  04-lessons-learned.md
  05-prototype-overview.md
  06-flutter-app-structure.md
  07-privacy-and-safety-notes.md

Published Notes

• docs/01-problem-context.md
• docs/02-product-workflow.md
• docs/03-architecture-notes.md
• docs/04-lessons-learned.md
• docs/05-prototype-overview.md
• docs/06-flutter-app-structure.md
• docs/07-privacy-and-safety-notes.md

Status

Public sanitized case study. No private product code, decision logic, or sensitive data is included.