Convenient reporting tool for data analysisThe ePRO platform collects large amounts of data with many variables. To make the further research analysis accessible to scientists, AltexSoft engineers built a data reporting tool that supports data visualization and specific queries to retrieve needed research records. This greatly simplifies the readability and understanding of collected records.
Export of patient data for SAS using R languageAs organizations partnering with our client use SAS Healthcare Analytics solutions, AltexSoft’s engineering team has developed an automatic data export instrument that made patient-reported data coming from smartphones available to SAS operation. The engineers used R language for the conversion script that exported data into the .xpt format. The converted datasets were further transmitted to client’s servers. Additionally, all collected data was structured according to CDISC standards (Clinical Data Interchange Standards Consortium).
Comprehensive iOS/Android refactoring and optimizationThe existing mobile applications were largely outdated and required elaborate code refactoring that would ensure code stability and speed. For instance, the iOS application combined both Objective-C and Swift code. The AltexSoft mobile team rebuilt all modules using Swift. Additionally, the Swift code itself needed partial refactoring to align it with modern Swift standards.
Approach and technical info
The technology stack included R language, Vue.js, Java, and Swift.
The duration of the project was 5 months with the total scope of work done in about two man-years.
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