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.

A healthcare and diagnostics platform that enables women to access at-home diagnostic kits, lab processing, and teleconsultations with doctors. The platform provides a complete ecosystem covering kit distribution, lab workflows, doctor consultations, payments, and customer engagement 

The solution is designed with multi-country support, role-based dashboards (Admin, Doctor, Lab, Customer), referral/commission modules, and financial tracking. 

The objective of proposed application is to enhance the management of chronic care disease by facilitating comprehensive data collection, treatment adherence, and patient-provider communication. The application aims to address the current lack of real-world data and studies in urology. It enables healthcare providers to monitor patient-reported symptoms, track pain trends, and assess treatment efficac Doctors can access a dashboard displaying all  patients, prioritize cases based on symptom severity, and receive alerts for critical cases. Patients can easily log symptoms, monitor their  scores, and receive reminders for medications and lifestyle changes, ensuring better adherence to treatment plans. It enables secure messaging between patients and providers, allowing for timely updates, treatment adjustments, and symptom reports. Patients can access personalized educational materials, including multimedia resources and chatbot support, to manage their condition effectively. The platform aims to deliver personalized, data-driven care, improve patient outcomes, and contribute valuable real-world evidence to further research and understanding of the problem