INTL
Freelancer
전문가
외주
원격 가능
Patient Monitoring Mobile App
예산
$150,000~$250,000 INR
예상 기간
4~6개월
난이도
전문가
기술 스택
Flutter
React Native
Python
Node.js
AWS
PostgreSQL
MongoDB
Machine Learning
TensorFlow
PyTorch
AI/ML Integration
REST API
CI/CD
Automated Testing
HIPAA Compliance
Bluetooth BLE
Apple HealthKit
Google Fit SDK
Fitbit API
AI 분석 요약
헬스케어 스타트업을 위한 환자 모니터링 모바일 앱 개발 프로젝트입니다. 웨어러블 기기에서 실시간 데이터를 받아 안전한 클라우드에 스트리밍하고, AI 기반의 인사이트 및 알림, 암호화된 채팅 기능을 제공합니다. 크로스 플랫폼(React Native/Flutter), HIPAA 규정 준수 백엔드, 다양한 웨어러블 API 통합, 그리고 AI 역량을 갖춘 전문가를 찾습니다.
프로젝트 원문 설명
I’m building the first product for my health-tech startup: a cross-platform mobile app focused on continuous patient monitoring. The core workflow is simple—patients pair their wearable or connected device, the app streams real-time health data to a secure cloud, and both patient and clinician receive instant, actionable insights.
Key functionality
• Real-time data tracking pulled from Bluetooth-enabled wearables or manual input, visualised in clear, trend-based dashboards.
• Alert notifications that trigger when readings leave predefined thresholds, with configurable urgency levels for patients and care teams.
• Doctor-patient communication via in-app, encrypted chat and optional teleconsultation hooks so clinicians can respond to critical alerts immediately.
What I already have
A validated feature list, preliminary UI wireframes, and a shortlist of compliant cloud services. All branding assets and copy are ready to drop in, so you can stay laser-focused on development.
What I need from you
• A polished iOS and Android build developed in a modern cross-platform stack (React Native or Flutter are both fine).
• Secure, HIPAA-ready backend with authentication, role-based access and encrypted data at rest and in transit.
• API integrations for the most common wearable SDKs (Apple Health, Google Fit, Fitbit) plus an extensible architecture for future devices.
• Thorough unit and integration tests, CI/CD pipeline, and concise documentation so my in-house team can maintain and iterate quickly.
• A short pilot phase where we crush critical bugs and fine-tune alert thresholds with real patient data in a staging environment.
Acceptance criteria
1. Live vitals stream stably (≤2 s latency) from test devices to the clinician dashboard.
2. Alerts fire 100 % of the time when thresholds are breached and appear on both patient and clinician apps.
3. Messaging module passes end-to-end encryption tests and stores no plaintext on device or server.
4. App passes App Store / Google Play review on the first submission.
5.Ai integration will be main core of this app
When these boxes are ticked, the milestone is complete and we move to scaling. I’m ready to start right away and can respond quickly to unblock you at every step.
I will prefer to work with person who is good in Ai integration!!!!!!!
Key functionality
• Real-time data tracking pulled from Bluetooth-enabled wearables or manual input, visualised in clear, trend-based dashboards.
• Alert notifications that trigger when readings leave predefined thresholds, with configurable urgency levels for patients and care teams.
• Doctor-patient communication via in-app, encrypted chat and optional teleconsultation hooks so clinicians can respond to critical alerts immediately.
What I already have
A validated feature list, preliminary UI wireframes, and a shortlist of compliant cloud services. All branding assets and copy are ready to drop in, so you can stay laser-focused on development.
What I need from you
• A polished iOS and Android build developed in a modern cross-platform stack (React Native or Flutter are both fine).
• Secure, HIPAA-ready backend with authentication, role-based access and encrypted data at rest and in transit.
• API integrations for the most common wearable SDKs (Apple Health, Google Fit, Fitbit) plus an extensible architecture for future devices.
• Thorough unit and integration tests, CI/CD pipeline, and concise documentation so my in-house team can maintain and iterate quickly.
• A short pilot phase where we crush critical bugs and fine-tune alert thresholds with real patient data in a staging environment.
Acceptance criteria
1. Live vitals stream stably (≤2 s latency) from test devices to the clinician dashboard.
2. Alerts fire 100 % of the time when thresholds are breached and appear on both patient and clinician apps.
3. Messaging module passes end-to-end encryption tests and stores no plaintext on device or server.
4. App passes App Store / Google Play review on the first submission.
5.Ai integration will be main core of this app
When these boxes are ticked, the milestone is complete and we move to scaling. I’m ready to start right away and can respond quickly to unblock you at every step.
I will prefer to work with person who is good in Ai integration!!!!!!!
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