DocAI Medical App
Budget: $20,000 – $50,000 USD
We are seeking highly skilled developers to design and build a native mobile application and desktop web platform for a sophisticated medical device that utilizes electrical frequencies to non-invasively treat viral and bacterial cells. This platform will serve as the main interface for users, facilitating seamless interaction between the device and its operators, while maintaining the highest standards of security, usability, and data management.
The platform will integrate the following modules:
1. Client Management:
User registration & Onboarding
Baseline information for account creation
Questionnaire for medical history [To be driven through AI Chat as opposed to typical form]
Ability to create multiple profiles under one account (e.g., family groups) or link to other users
Secure authentication integration to ensure real users are added to a family group.
2. Device Registration & Management:
QR code scanning to link and manage physical devices with real-time data from the already existing database.
3. AI Diagnostics & Treatment Recommendations:
AI-powered diagnostics based on user-reported symptoms (text and voice)
Inclusive of AI Avatars for visual interaction with users [e.g. https://www.instagram.com/reel/C_-emS9IqWd/?igsh=andzZXNsMWt6Njho | as seen here]
Avatar should be selectable during signup and changeable after
AI Outputs to include device treatment and remedy recommendations
Option to connect users with practitioners if AI diagnostics are inconclusive
4. AI Agent & Patient History:
AI summarizing patient consultations and device usage, maintaining an ongoing view of health history and individual stats.
5. Wearables / OS Integrations:
Access to health data from wearables (Garmin, Apple Watch, etc.) for personalized recommendations and storing in patient files.
Access to other mobile device information such as Screen Time and GPS Location
Views and dashboards for the patients to see their stats.
6. Practitioner Module:
Text-based chat connection with practitioners when further consultation is needed.
Practitioner access to users stats when shared on the platform [typical social media type profile sharing and security features]
Preferred database platform: Elastic (https://www.elastic.co/)
The platform will integrate the following modules:
1. Client Management:
User registration & Onboarding
Baseline information for account creation
Questionnaire for medical history [To be driven through AI Chat as opposed to typical form]
Ability to create multiple profiles under one account (e.g., family groups) or link to other users
Secure authentication integration to ensure real users are added to a family group.
2. Device Registration & Management:
QR code scanning to link and manage physical devices with real-time data from the already existing database.
3. AI Diagnostics & Treatment Recommendations:
AI-powered diagnostics based on user-reported symptoms (text and voice)
Inclusive of AI Avatars for visual interaction with users [e.g. https://www.instagram.com/reel/C_-emS9IqWd/?igsh=andzZXNsMWt6Njho | as seen here]
Avatar should be selectable during signup and changeable after
AI Outputs to include device treatment and remedy recommendations
Option to connect users with practitioners if AI diagnostics are inconclusive
4. AI Agent & Patient History:
AI summarizing patient consultations and device usage, maintaining an ongoing view of health history and individual stats.
5. Wearables / OS Integrations:
Access to health data from wearables (Garmin, Apple Watch, etc.) for personalized recommendations and storing in patient files.
Access to other mobile device information such as Screen Time and GPS Location
Views and dashboards for the patients to see their stats.
6. Practitioner Module:
Text-based chat connection with practitioners when further consultation is needed.
Practitioner access to users stats when shared on the platform [typical social media type profile sharing and security features]
Preferred database platform: Elastic (https://www.elastic.co/)