Mar 11, 2021
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Lab Test Analyzer

Lab Test Analyzer

more 1 year
United States, New York
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Service categories
Service Lines
Artificial Intelligence
Software Development
Mobile Development
Domain focus
Programming language


Our Data Science engineers and other in-house experts were engaged by one of the leading healthcare providers to come up with a robust app development solution that would meet the needs and expectations of both patients and medical professionals. The company relied on our tried-and-true expertise in AI, ML, and DataOps, which obliged us to showcase high proficiency within short timeframes.


We managed to enhance the app’s functionality by a number of patient-centric improvements, namely - Seamless UI/UX design providing intuitive navigation - Succinct yet meaningful content (comprehensive descriptions. self-help guides, contact info, etc.) - Precise prediction algorithms - Great performance on both iOS and Android devices - Improved scanning and object recognition capabilities to quickly extract data from paper diagnoses The project involved consolidated efforts of our devoted team of experts, comprising a UI/UX designer, two ML engineers, a DevOps specialist, a NodeJS engineer, an Android app developer, two integration testers, and two project managers.


After all, the mobile app for managing personal blood test results has had a lot to be proud of. Augmented with AI-fueled algorithms and ML models, the app perfectly matches the basic needs of ordinary patients, who want their blood work data to get uploaded, analyzed, orchestrated, and stored in a fast, consistent and timely way. Thus far, patients can leverage the advantages of the easy-to-use mobile app that features: -User-friendly options and navigation - Fast loading times and robust performance - Real-time tracking of the CBC (complete blood count) data - Instant estimation of an individual normal blood range to avoid any inaccuracy.
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Lab Test Analyzer