Data-Driven Diagnostic and Predictive App for Improving Infant Outcomes

Client Background

Astarte Medical is a precision nutrition company that turned to us to build software based on proprietary predictive analytics. The solution is meant to improve outcomes for preterm infants with a suite of digital tools and diagnostics.

Challenge

We were delegated with a challenging task to build a forecasting & tracking web application for the infants’ treatment plans from scratch.

MAIN COMPONENTS MEANT TO BE:

• AI-based suggestions for feeding time, amount, and constituents
• Graphs and tools to monitor feeding
• A thorough interface to track infant growth

Solution

To standardize feeding, optimize nutrition, and quantify gut health of preterm infants with our app, we implemented:

• Integrations with various protocols to suggest feedings for babies based on the clinical indicators, growth speed and other historical data (like previous feedings)
• Tracking of the protocol suggestion modifications
• Central identity server
• Rounding report tab to show consolidated information about the patient
• Analytics (with charts) for organization performance metrics visualization
• Epic EHR integration
• Ability to download data/reports