Required stack
필요 기술
FlutterReact NativePythonNode.jsAWSPostgreSQLMongoDBMachine LearningTensorFlowPyTorchAI/ML IntegrationREST APICI/CDAutomated TestingHIPAA ComplianceBluetooth BLEApple HealthKitGoogle Fit SDKFitbit API
Project brief
프로젝트 내용
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!!!!!!!