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In auto, case creates each referral is matched with the existing patient in the system on the basis of matching criteria system sets the Referral Status, and here the possible referral status. 
Match note found – If no referral found any match with the existing system, in this case system converts that referral into new patients and assigns a case Id to this referral. 
Review Matches – This status is set when there are multiple matches for a referral, in this case, a manual process happens, in this process user selects particular patients and links that patient to this referral. 
The new case created – When a referral is converted to a patient and gets a case id then the referral’s status becomes a new case created. 

Features:
Auto case creation is a technique when a referral is received in the form of an XML file, then this file gets parsed in our product and the information resides in xml files gets saved in the database in sections like Referral Basic Info, Address Info, Diagnosis Info. 

Full-featured SaaS-based application that aims to where business can register to manage GDPR compliance data. The application contains a dynamic form builder and creates compliances for different department having different categories & sub-categories.

An online gaming platform based on real time sports data. It allows users to play quizzes from various sports leagues (Football, Hockey, Baseball, Basketball). The third-party feed has been used to add sports data into the application. Admin can create a contest that is shown to every user in the dashboard so that the user can play it. Admin can see a list of contest games which he has added in 3 categories: expired leagues, upcoming leagues, ongoing leagues

The system is an intuitive multilingual conversational messaging platform that allows organizations to engage with customers easily via multiple messaging channels in 109 languages. It is managing real-time translation which eliminates language barriers and increased customer behavior.

The objective is to provide an app that delivers key wellbeing and health risk features to its members. Under a subscription based membership model the application provides employee benefit packages for health risk assessment, online GP support, nursing care, advocacy and advice, and insurance plans in UK.

Employee engagement focuses on health and fitness. HRA contains seven main steps which assess the personal, medical information, family history of diseases, lifestyle habits, biometrics measurements and readings, food habits and stress level of a user. This information is collected from the user by the means of the questionnaire asked them on seven different forms.

The proposed solution is a mobile-first, AI-powered wellness platform designed to empower users to take control of their health through real-time insights, proactive recommendations, and an engaging, gamified user experience. By integrating data from wearables, lab results, medical history, and electronic health records (EHR/EMR), the platform delivers a comprehensive and personalized wellness journey. Advanced AI/ML models analyze this data to offer predictive insights and tailored health guidance, while seamless integration with third-party systems such as LabCorp and Quest Diagnostics ensures a truly connected and data-driven experience.