Our platform is used to improve the experience of the patient and of all the actors involved during the journey to the emergency room.
During the triage phase, a QR is provided to download our app and stay updated on the phase taken and on the expected waiting times.
The 'time' and 'awareness' sections allow patients and caregivers to receive detailed instructions on what is happening and to share valuable information to help medical staff during the visit.
At the end of the course, healthcare professionals can receive constructive feedback from patients.
The platform (with the Haya brand) that we designed for a leading pharmaceutical company allows doctors to model their patients' journey, notifying them of any changes in real time.
The platform collects and makes available the patient's clinical data and personal measurements, with a dynamic conversation interface that monitors compliance and therapeutic adherence.
The platform for longevity consolidates the client's wealth of health and biometric data: all the data on the diagnosis and on the instrumentation used feed the longitudinal analysis, in which these data are grouped by physiological area, clearly indicating for the professional the values at the limit or outside the threshold.
The NHC platform designed for therapeutic adherence supports patients with a deep personalization of services, interfaces and communications based on the therapy taken. The platform has produced excellent results in facilities dedicated to the reception of chronic patients.
The platform provides synchronous and asynchronous communication channels (televisit, chats, notifications) through which the caregiver can receive the information they want and share requests and concerns.
The platform allows professionals to manage their own and create fully digitalized training plans. The end user is provided with an application to perform workouts, record their measurements and track progress over time.
This virtual assistant, guided by our artificial intelligence algorithm, allows operators to accurately review diagnostic traces.
Healthcare professionals can consult the AI to verify the appropriateness of the measurements for reporting purposes, identify any measurements that do not meet the referring physician's standards, and interpret the results accurately.