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 had 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.
Results
Core to Astarte Medical is their comprehensive and proprietary dataset, which integrates feeding protocols, microbiome profiles, and clinical information. We synchronized it with the web application making it generate actionable suggestions in the form of a decision tree.
Infant parameters are logged into the app which measures the Protocol compliance for tracking & optimizing their nutrition.
Decision tree – AI-based platform that suggests a diet based on the lessons learned from the previous cases
A platform for tracking and improving sleep activities.
Client Background
The Client owns a sleep lab management solution that provides managing patients’ sleep care: from scheduling sleep tests and physician visits to coordinating treatment. The platform is used by lab management companies, independent diagnostic testing facilities, physician-owned labs, and hospitals.
Challenge
The Client needed to replace the outdated desktop version of the product and build a new one using the latest technologies.
OUR GOALS WERE:
To build a desktop app using WebRDP to reach it from the web app
To integrate the web app with a new server using the latest APIs
To connect sleep devices to the new app through DLL libraries adjustment
Solution
Glorium has been working on the project from 2019.
SINCE THE BEGINNING WE:
Built a new desktop application using WPF
Created a WebRDP solution to allow remote access to sleep studies
Optimized outdated DLL libraries enabling connectivity of sleep devices with the latest desktop app
Implemented a new archive tool to optimize work with laboratory documents
Enabled work with laboratory documents through embedded MS Office
Results
The Client has got the new web version that shows higher performance and faster load. We developed it with added customization possibilities in mind and easier EMR integrations to serve a greater pool of clients.
TECH-STACK:
FRONT-END ReactJS
DESKTOP C# WebRDP WPF
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.OkPrivacy policy