Let's create the future of medecine
A P4 medicine objective
Everyone is unique. Usense focuses on the specific profile of each individual by cross-referencing
with their physiological characteristics.
Thus, a digital twin will be created in order to personalise the treatment and follow-up.
Collective data is put at the service of individuals. By relying on big data, and by establishing a personalised mapping of risk factors, Usense will enable assessing the risk of developing or aggravating a pathology and anticipate patient care.
The three stages of prevention will finally be accessible to all. Usense aims at reducing the risk of disease (primary prevention), promoting early detection (secondary (secondary prevention), and improving the quality of life of people (tertiary prevention). Well-being is at the heart of this dynamic.
Practitioners and patients are the real actors of tomorrow's health. Each scan performed enriches Usense solution by helping to understand individual's characteristics. Usense also will allow to share these anonymised data to advance research.
A smart interface
Usense will allow to quickly create or import patient records in the dashboard. A practitioner can integrate specific health variables or treatments, view the various analyses performed and categorise patient profiles.
Usense guarantees the tracking of its devices, no matter where they are. Check and calibrations' monitoring is facilitated by alerts when they need to performed. Monitoring them allows to meet the COFRAC requirements in the event of an audit.
Measurement and Data-visualisation
Facilitating real-time monitoring of Usense data is a priority: clinical and organisational data are displayed on our dashboard. Customisation of monitoring tools allows each practitioner to organise his dashboard with priority data according to his needs.
Beyond the aggregation of local data, Usense opens a window to a global view of data. Usense community of practitioners is at the heart of the solution: sharing on best practice , exploration of open scientific data, management and contribution to clinical studies, trend indicators or pathology mapping. Each measurement performed with the Usense solution feeds this community and scientific research.
Module 1: Risk IndicesThe scientific literature is full of formulas for calculating risks of certain pathologies. Usense facilitates their use by centralising them and integrating all the data already collected by our system. The metabolism module contains various indicators such as the calculation of a patient's BMI, the analysis of volume, urine pH, diet biomarkers, but also risk indicators specific to medical specialties developed with scientific experts. Usense has integrated features for specialties such as nephrology (risk of crystallisation) or gynaecology (risk of pre-eclampsia) and is therefore adapted to your practice.
Module 2: Comparison with scientific literatureUsense shows you potential pathologies associated with your patient's abnormal biological results based on information from public databases reviewed by leading physicians. This analysis allows you to enrich your diagnoses in the light of what has been recently published. Thus, a patient's health fingerprint, when cross-referenced with published databases, makes it possible to prevent the risks of pathologies generally associated with specific biomarker concentrations.
Module 3: Evolutionary comparison with a healthy digital twinUsense is able to generate specific normal ranges for each of your patients based on their physiological parameters (age, sex, weight, height, etc.). This is useful for refining diagnoses and personalising recommendations. This comparison is based on all the anonymised data accumulated in our database, and allows us to establish a typical profile that shares the same physical characteristics as your patient. The comparison of these two profiles is made through the prism of biomarkers, allowing you to quickly get an overview of your patient’s abnormal parameters. This helps in preventing present and future pathologies.