Symptom Search Platform Development

We have an leading web-based platform for symptom-to-disease correlation, is seeking a comprehensive and technologically advanced solution for the complete redesign and redevelopment of its website. The new platform will integrate cutting-edge health data systems, including Orphanet and Isabel databases, to allow users (specifically healthcare professionals and patients) to efficiently search for diseases based on symptoms. Additionally, the platform will feature a secure login and billing system for medical professionals to access enhanced services.

Scope of Work:

The scope of this project includes the full development cycle from design to deployment of a new, state-of-the-art, user-centric, and secure platform. This platform will feature advanced functionalities tailored to both individual users and healthcare providers. The key deliverables are as follows:

Website Redesign and Development:

UI/UX Design: A fully responsive, modern, and intuitive user interface that promotes ease of use and accessibility. The design should prioritize a seamless experience across multiple devices, including desktops, tablets, and smartphones.

Front-End Development: Implementing modern web technologies (HTML5, CSS3, JavaScript frameworks such as React.js or Vue.js) to ensure scalability, performance, and optimal user experience.

Back-End Development: A robust back-end architecture utilizing modern frameworks (e.g., Node.js, Python Flask, or Django) for efficient processing and real-time data retrieval.

Database Integration:

Orphanet Database Integration: Seamless integration with Orphanet, a comprehensive database of rare diseases, enabling users to search for rare conditions based on symptoms.

Isabel Database Integration: Incorporating the Isabel diagnosis system, which leverages artificial intelligence to assist in diagnosing diseases based on symptoms input by the user.

Data Sync and API Integrations: Real-time data synchronization with both Orphanet and Isabel, ensuring accuracy and up-to-date medical information.

Symptom-Disease Matching Algorithm:

Custom Algorithm Development: Design and implement an intelligent algorithm that efficiently matches user-entered symptoms to the relevant diseases, leveraging both databases’ strengths.

User Feedback Mechanism: A feedback system that improves the accuracy of symptom-disease matching over time, using machine learning and AI technologies to enhance diagnostic precision.

Authentication & User Management:

Secure User Login System: Development of a secure, encrypted login system that supports multiple user roles (patients, healthcare professionals, administrators).

Role-Based Access Control (RBAC): Implementing comprehensive role management, allowing administrators to assign permissions based on user types.

Two-Factor Authentication (2FA): Ensuring enhanced security for healthcare professionals with mandatory 2FA to access sensitive data.

Medical Professional Billing System:

Subscription Model Integration: A flexible billing system to manage subscription-based access for medical professionals, including tiered pricing and automated invoicing.

Payment Gateway Integration: Seamless integration with popular payment gateways such as Stripe or PayPal, supporting recurring and one-time payments.

Invoice Generation and Reporting: Automatic invoice generation with detailed reporting capabilities for medical professionals.

Data Privacy and Security Compliance:

GDPR Compliance: Ensuring that all user data, particularly sensitive health data, is handled according to General Data Protection Regulation (GDPR) standards.

HIPAA Compliance (for U.S. healthcare professionals): Ensuring that the platform is fully compliant with the Health Insurance Portability and Accountability Act (HIPAA) regulations for users in the U.S.

Encryption and Data Protection: Implementing end-to-end encryption for all user interactions with the platform to safeguard patient confidentiality.

Advanced Analytics and Reporting:

User Interaction Analytics: Implementation of analytics tools (e.g., Google Analytics, custom tracking) to provide real-time insights into user engagement and platform performance.

Medical Data Reporting: Generation of medical-related reports that will help healthcare professionals make informed decisions based on symptom patterns and disease prevalence.

Maintenance and Support:

Ongoing Maintenance: Providing maintenance services for system updates, bug fixes, and minor enhancements over a 12-month post-launch period.

Technical Support: Dedicated technical support for troubleshooting, system optimization, and user inquiries.

Technical Requirements:

Programming Languages: The use of modern and scalable programming languages such as JavaScript (React.js/Vue.js), Python (Flask/Django), and SQL-based databases (PostgreSQL/MySQL).

Cloud Hosting: The platform should be hosted on a scalable cloud solution (e.g., AWS, Google Cloud, Microsoft Azure) to ensure high availability and disaster recovery.

Data Protection: End-to-end encryption for all personal and health data, ensuring a secure transmission channel.


Project Timeline:
The ideal vendor will be able to deliver the platform within a period of 9-12 months from the date of contract award. This timeline should encompass all stages, from initial planning and design to full implementation and deployment.