FIRST POINT
HIPAA-Compliant Data Handling
Patient health data stored and segregated across AWS environments to clinical-grade security and privacy standards.
§ CASE STUDYDIGITAL HEALTH · MOBILE APP DEVELOPMENT
A HIPAA-Compliant Research App Combining Patient Reports with Fitbit Data
The University of Haifa's iPain Lab needed a trustworthy partner to build a chronic-pain research app to clinical-grade standards — capturing patient-reported data and syncing physiological data from Fitbit wearables.
CLIENTUniversity of Haifa
INDUSTRYDigital Health / Research
SERVICESMobile App Development
YEAR2022
CLIENTABOUT
NAMEUniversity of Haifa — iPain Lab
INDUSTRYAcademic Research / Digital Health
TEAM SIZEUniversity research lab
COUNTRYIsrael
The iPain Lab at the University of Haifa is a research group studying chronic pain. Their work depends on collecting reliable, real-world data from study participants over time.
RESULTSOUTCOME
A HIPAA-compliant research platform, delivered in 6 months.
Prosperity delivered a HIPAA-compliant research platform in six months — giving the University of Haifa's iPain Lab a trustworthy way to collect chronic-pain data from participants' daily lives, combining self-reported responses with continuous Fitbit data for richer, more reliable research.
01 / 04
6 mo
KICKOFF TO DELIVERY
02 / 04
HIPAA
COMPLIANT PATIENT-DATA HANDLING
03 / 04
2
PLATFORMS (IOS & ANDROID)
04 / 04
2
DATA STREAMS UNIFIED — SELF-REPORTED + FITBIT
OVERVIEWTHE BUILD
✕ The Problem
Chronic-pain research needed clinical-grade data collection
The iPain Lab needed a trustworthy engineering partner to build a research app to clinical-grade standards. Because the app stores sensitive patient health data, HIPAA compliance was non-negotiable — and the study design required combining self-reported responses with objective physiological data from wearables, captured continuously from participants' everyday lives.
✓ The Solution
A HIPAA-compliant research platform with automated wearable data
We built a HIPAA-compliant mobile app for the lab's chronic-pain study — capturing structured patient-reported responses and automatically syncing physiological data from Fitbit wearables, with a researcher dashboard for accessing the combined dataset.
- 01Cross-platform iOS and Android app built in React Native
- 02HIPAA-compliant handling of sensitive patient health data
- 03Structured patient-reported pain and symptom questionnaires
- 04Automated Fitbit integration via a scheduled data-fetching microservice
- 05Researcher admin dashboard for accessing and managing study data
- 06Multi-environment AWS backend (Django, FastAPI, Celery)
TECH STACK /React NativePythonDjangoFastAPICeleryAWSFitbit API
FEATURESWHAT WE SHIPPED
Inside the
Medical Research App build.
Core capabilities that make this product work in the wild.
SECOND POINT
Patient-Reported Pain Logging
Structured in-app questionnaires capture participants' pain and symptom responses in their daily lives.
THIRD POINT
Automated Fitbit Sync
A scheduled microservice pulls physiological data from each participant's Fitbit via API — no manual entry, continuous objective data.
FOURTH POINT
Researcher Admin Dashboard
An admin tool for the research team to access and manage the combined self-reported and wearable study data.
§ 13 — Contact
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