The Telegrafik platform is intelligent, predictive, and aggregative.
It collects sensor data, sends alerts, and provides useful information to care and support professionals.
It connects with the ecosystem: remote assistance platforms, patient record software, and patient calls.
Data analysis and artificial intelligence at the service of medical and social professionals and the comfort of life for aging people.
Real-time remote monitoring allows remote monitoring of all equipped people.
The platform's algorithms detect alert situations, take care of sending them, and monitoring their correct acknowledgment.
The platform incorporates the best algorithms: machine learning, automatic learning of usual activity, automatic alert raising, detection of changes and weak signals, supervision of all connected solutions 24/7.
have benefited from Telegrafik smart platform
each day
each day
Detected each month
Motion/Door - Smoke/Water Leak/Air Quality - Light Paths - Watches - Intercoms
Human Data - Intervention Reports
Remote reading of vital signs and automatic feeding of patient records
Remote assistance platforms - Patient records - Nurse calls - 24/7 remote monitoring - Telemedicine platforms - EDI - Data platforms and EDS (Health Data Environment)
Home care Services/Care softwares
The objective:
To predict falls, detect abnormal developments before a serious problem occurs, and thus be able to implement appropriate services or assistance:
Developing new AI algorithms to offer professionals new prevention alerts and demonstrate results and a contribution to reducing the occurrence of loss of autonomy.
The RI2S experimental site supports digital health projects, focusing on innovative, sustainable, and efficient solutions to address the health issues of seniors living in rural areas such as the southern Tarn department.
RI2S is supported by:
CHIC de CASTRES-MAZAMET
CPTS Sud Tard
AGIR Group
ISIS Engineering School
IHU Health Age – Gérontopôle de Toulouse
The SCIOPP solution involves equipping nursing home professionals and residents with various connected devices (thermometers, blood pressure monitors, oximeters, temperature sensors, smart glasses, etc.). All collected data will be analyzed and automatically integrated into the electronic user record via the interoperable Telegrafik software platform.
This solution aims to minimize the time spent transcribing the various information collected throughout the day, to make the data collected more usable, and, in turn, to increase the time spent by the nursing home’s paramedical professionals (caregivers and nurses) providing support to users.
The objective: to restore meaning to the work of nursing home caregivers by automating the collection and transcription of health data.
The project is led by Hospitalité Saint Thomas de Villeneuve and Telegrafik, with the support of the Digital Health Agency (ANS) and the Ministerial Delegation for Digital Health (DNS).
In a context of a significant aging of the French population, the consortium led by Telegrafik, alongside the e-health and secure chatbot software publisher Bot Design, has obtained support from the Occitanie Region and European funding.
The project proposes a “gateway” tool that meets the needs of people receiving home nursing care by coordinating patient information, aiming to delay institutionalization while optimizing their conditions for “Aging Well.”
Care-Me introduces additional tools for multidisciplinary home and coordination professionals. The project draws on the data collected through this “gateway” tool to develop more advanced and predictive algorithms.
This project, funded by the Investments for the Future Program (PIA), aims to make Telegrafik the essential partner of major European players in home care and aging for their connected services, and to position itself as the leading software for intelligent data analysis at the heart of high-volume connected Smart Care services.
This project enabled the development of new algorithmic functionalities and the establishment of new industrial partnerships, enabling the development of new innovative connected services for security, comfort, social connection, e-health, and better coordination of technologies and human services.
This innovation program mobilized skills in data science, IT, project management, as well as design and user ergonomics.
The 3Pegase project lies at the crossroads of home care, prevention, and e-health, implementing a system for preventing loss of autonomy and monitoring frail elderly people, relying in particular on sensor systems and predictive analytics technologies.
3Pegase is working on anticipating recurring problems among senior patients, such as falls and malnutrition.
The work carried out as part of the project focused on the following:
Monitoring a patient’s activity level over time, based on a sensor system
Detecting abnormal changes in activities characteristic of frailty before they deteriorate too far
Effectively securing a patient undergoing geriatric monitoring
Coordinating resources around the patient:
Via the telemedicine operator
In conjunction with caregivers
In conjunction with the remote teleassistance platform
Relying on intelligent remote monitoring (sensors + AI) of the patient
2014 – 2015
This project, in partnership with LAAS-CNRS, enabled :
