Offsiteteam
Collecting real world data for Clinical Trial
Collecting and analyzing real-world patient data through mobile devices
Python PostgreSQL Swift Kotlin scikit-learn
Solution
Developing multiple user-friendly apps for daily patient health data collection
Engagement model
Technology Partner
Methodology
Waterfall
Industry
Healthcare
Team
Mobile Engineer 2
Data Scientist 1
Python Engineer 1
Company name
Hidden
Location
Worldwide
Business activity
Healthcare

Collecting real world data for Clinical Trial

The challenge involved crafting Android and iOS apps to monitor patient-reported and sensor data, alongside basic data analysis, for use in clinical trials.

Case highlights

Time Series data analysis
Cardio Data collection and analysis
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Android/iOS mobile app development

Challenge

There were various challenges in these projects. To encourage patients to report their data daily, the UX/UI had to be extremely convenient, user-friendly, and simple. On the other hand, for sensor data, there needed to be an efficient method to store, compress, and transmit large amounts of data to the server while minimizing traffic overhead.

Solution

Through numerous iterations involving our UX experts and patient focus group, we successfully developed an exceedingly simple and lightweight interface. This interface encouraged patients to input their data daily, providing valuable insights. On the other hand, for sensor data, we partially shifted data analysis to the mobile device, thereby minimizing traffic..
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