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.

This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.

Solution is designed for an aesthetics clinic chain, allowing patients to browse multiple treatment options and packages based on their specific skin concerns.