This Proof of Concept (POC) involves setting up a Mirth Connect integration to process HL7 messages for communication with the UAE government healthcare system. The workflow includes:

• Receiving a JSON request via an HTTP Listener.
• Converting JSON to HL7 format.
• Sending HL7 data to the UAE government endpoint.
• Handling real-time HL7 responses, converting them back to JSON, and sending the response to the HTTP requester.
• Implementing retry logic (configurable, e.g., 3 retries) in case the government server is unreachable.
• Ensuring nothing is hardcoded and using a config file for parameters like retry count.
• Supporting JWT Authentication for secure HTTP requests.
• Creating separate Mirth channels for each message type (ADT, ORM, etc.), starting with ADT messages.

The primary objective is to develop a comprehensive Online Therapy MVP that will provide a safe and accessible space for individuals to connect with professional therapists and psychologists. Tailored to the unique needs of the Gulf Cooperation Council (GCC) countries, the project aspires to set new standards in the mental healthcare landscape of the region, offering an unrivalled experience with a wide range of services and features. The application will strive to be robust and highly secure, not only meeting the expectations but exceeding the aspirations of the targeted audience in need of mental health support. One key feature of the solution will be the ability for clients to browse a comprehensive set of assessment questionnaires (intake quiz) and be matched with the most suitable therapist respective to the diagnosed underlying problems, as well as the ability for users to purchase subscription tier-based service packages. Along with the integration of video call functionality, using a third-party service like Twilio or Vonage. This will allow the service provider and their clients to communicate remotely, increasing the accessibility of the services being offered.

 

The application is developed to manage various functions of an online store, including user authentication, inventory control, sales tracking, and reporting. It also supports automated email and SMS notifications. The system is built using Angular for the frontend and Node.js for the backend, with full support for multilingual usage, including RTL and LTR display for Arabic and English.