The app is a wearable GPS tracker that focuses on improving child and adult safety through GPS tracking device alerts . In case of an emergency users can call a pre programmed emergency line or press a button to call a pre programmed contact.

Using this on-demand location tool, admin or guardian can have a real-time check of any device from the backend. It alerts family members or caregivers when the user crosses the defined radius. Primarily useful for child care and aged care patients. 

Remote monitoring application help in the diagnosis and treatment of heart rhythm disorders (arrhythmias). With the use of an Apple watch, we are importing and reviewing the electrocardiogram of the subscriber. The ECG in turn is presented to the provider who in turn analyzes the recording and creates an action plan which in turn is communicated via the platform to the designated staff. Thereafter the designated staff would contact the client and would obtain further information or would help schedule an appointment and such, as per the action plan.

The clinical staff's dashboard will display a listing of assigned patients by the healthcare provider with their action plan notes. They can view it by clicking on the action button, and read action detailed notes. Staff can search for patients from their internal EHR, check their number, and schedule provider appointments with patients (offline process). After taking an action plan, they can update the status of the assigned action plan in the system and close the loop. Every action plan default time interval will be 2 minutes. Timelog will display brief summary of the action, Date, and time. It will be average for each patient. 

Application help users to stay on track with clear aligners and they can book a time to speak with a licensed dentist and orthodontist to ensure you’re treatment is going as planned. It helps in all areas on the user’s journey towards a straighter smile. Track how long users wear aligners daily, get notifications for wearing aligners for too little/long, monitor and view progress by comparing your smile for each tray, etc.

The mobile app is intended to capture datasets of patient-related data (mental and physical health) through which good adherence and behaviours are rewarded through different stakeholders. It motivates patients to take control of their physical and mental health and rewards for healthy habits. It is targeted for chronic patients (users that needs medications for prolonged periods of time). A raffle system is implemented, where patients can redeem points in the virtual store to buy products they or their family members needs, free of charge.
 

Virtual care platform helping hospitals to work on the aim of NHS maximizing virtual wards across the country to reduce the number of stays within the hospitals and addressing the staff shortage problem. This will be a cloud-based technology platform for remote patient monitoring and engagement at virtual wards. It enables personalized virtual care through assigned care pathways predicting risk scores through vitals and questionnaires and through specially tailored educational content for encouraging patient engagement during their treatment. Each assessment questionnaire is assigned a specific score based on which risk score is generated based on the answers from patients.

The objective of app will work as an intermediate between the general medical observation devices and the system (server). It will collect the data (medical observations) given by the medical devices through BLE and submit the data to the server. It is a SaaS-based solution, that gathers all patient data collected from various implemented medical devices, performed by medical staff at the primary healthcare center, hospital or other location. Relevant medical staff can then read and evaluate the data through Workstation, from another location/time, and give sufficient advice and diagnosis for further investigation. The overall goal of remote monitoring was to overcome the shortage of healthcare workers and improve the efficiency of the facilities by increasing the encounter ratio vs healthcare workers. The application uses structured patient data through IQ forms and using assist flow for effective process flow through use of card systems like the kanban flow.