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The LC (LifeChamps) Dashboard is intended to be used by healthcare professionals, clinical researchers, and clinical managers and allows for visualising pseudonymised information from patients. The following image represents the Home View of the application. Each functionality is accessible through the corresponding button or the top bar menu.

home_window

The LC Dashboard implements four main functionalities, described below:

  1. The first one is the Patient-level monitoring funciotnality. It enables healthcare professionals to visualise and monitor the information reported by the patients through the mobile app and the sensors. This information includes the Patient-Reported Outcomes Measures (PROMs) and the information gathered by the different sensors deployed. Overall, sensors include an activity tracker (collecting heart rate, heart rate variability, steps, activity tracking, sleep monitoring, breathing rate, skin temperature and SpO2), a smart scale (measuring weight and body composition), home sensors (tracking ambulation and functioning). See section Patient-level monitoring

  2. The second one is the Analytics monitoring. It includes The results provided by the AI/ML algorithms will also allow healthcare professionals to monitor changes of frailty and quality of life subdomains and ill-health transitions with an emphasis on the identification of fit, pre-frail clinically and, frail older cancer survivors, these models for frailty and quality of life will be particular for each patient. See section Analytics monitoring

  3. The third corresponds with the Cohort-level monitoring and includes the results based on the analysis performed by the AI (Artificial Intelligence)/ML (Machine Learning) engine deployed in the LifeChamps Platform. These results include information at the cohort and patient levels. These algorithms analyse the data and present the patients' progress over time and evolution qualitatively and quantitatively at the cohort level (all patients participating in a pilot). These data combine the one collected by the mobile app (PROMs and patients' variables collected by sensors) with the clinical events from the EHRs. See section Cohort-level monitoring

  4. The last functionality is the EHR upload. With this functionality, the user can upload clinical information from the EHR. See section EHR upload