logo
AI & Machine Learning

HealthTrack Pro

ClientMedSync HealthNovember 2024StackPython, FastAPI, Next.js +4

A real-time patient monitoring platform that uses ML to predict adverse events 6 hours before they occur, deployed across 12 hospital networks.

Client

MedSync Health

Category

AI & Machine Learning

Year

2024

Technologies

7 in stack

Challenge

MedSync Health was drowning in fragmented patient data spread across 12 hospital networks. Nurses were spending 40% of their shift time manually reviewing vitals, and early warning signs were being missed — leading to preventable ICU admissions.

Solution

We built a unified real-time data pipeline ingesting vitals from 8 different EHR systems, then trained a gradient-boosted model on 3 years of historical outcomes data. The result was a predictive alert system that surfaces risk scores per patient, surfaced through a clean nurse-facing dashboard.

Outcome

Deployed across all 12 networks within 4 months. ICU transfers dropped 31% in the first year, and nursing documentation time fell by 22%. The platform now monitors 18,000+ patients daily.

Stack

PythonFastAPINext.jsPostgreSQLRedisXGBoostAWS
Your Project

Ready to build
something like this?

Every project in our portfolio started with a single conversation. Let's start yours.