### Test of Health Pod Application in a Real-World Setting  
To verify these assumptions, a pilot test was conducted in collaboration with CAPSULA by placing a single-unit health pod in two malls in the Milan (Italy) surroundings, characterized by a large number of people accessing the structure (the first site (S1) with 20,000+ visitors per day, and the second site (S2) with 5000+ footfalls per day). The health pod was equipped with four available tests:  
* measurement of BP through an automated system;
* measurement of AGEs through spectroscopy in fluorescent light;
* measurement of ECG 1-lead and assessment of stress level through HRV analysis;
* measurement of body weight and composition through BIA. In this pilot, the subject was able to freely decide in complete autonomy which test to carry out (or all tests) in his/her preferred order. During 57 days of observation (2 June-28 July 2021) at the two sites, impressive outcomes were registered (Figures 3 and 4); an average of 116 tests per day at S1 and 93 tests per day at S2 were performed in the period, where the number of tests per user was 1.5 at S1 and 2.0 at S2. Participants were equally gender distributed: 51% females and 49% males, thus showing the same demand for prevention among genders in the general population. The participation rate, defined as the number of health pod users on total visitors, was 0.2% during weekdays in S1; this value raised to 0.6% on the weekends. For S2, these rates were respectively 0.4% on weekdays and 0.8% on weekends. About completion rate, computed as the % of completed tests with respect to the total number of tests initiated, the values are 83.60% for S1 and 90.86% for S2, thus showing very good system reliability and user's commitment due to the engagement strategy through the user interface. A very interesting datum is related to the redemption rate: CAPSULA offers the possibility to obtain a more detailed description of the results by connecting through the QR code link to the data webpage, where a scientific description of the measured parameters and their normality ranges are indicated. For S1, 43% of the subjects accessed this link, while for S2, this percentage was 25%. These values are really meaningful and represent the quantification of the request for prevention in the general population. The average age (min, max) of the reached population (men: 49 yrs (9, 87); women: 45 yrs (9, 87)) is in line with the expected value that is indicated as the target of people potentially interested in prevention activities (men > 40 yrs, women > 50 yrs [25; 26]). It is worth noting that even >65-yrs subjects successfully took part in the tests; this opens the possibility to also carry out through health pod technology mass screening campaigns for specific pathologies, such as atrial fibrillation, which is frequent and asymptomatic in the early phases in these subjects, or hypertension. The check-up tests carried out by the participants were well balanced in distribution among the different available options. In terms of duration of the examination, for a subject completing the full set of check-ups, an average time of 7 min 15 s was measured, as a result of the average duration recorded for each test (Table 2). This limited-time requirement encouraged the completion of more than a single test in most of the participants. Figure 4: Health pod recruitment in tests in respect to total footfall at S1. Figure 3: Statistics of health pod pilot tests in malls with 20,000+ visitors per day (S1) and 5000+ visitors per day (S2) and total test distribution at the two sites (**right**): A.G.E., advanced glycation end products; B.P., blood pressure; H.R.V., heart rate variability; B.I.A., body impedance analysis. These results show an apparent difference between the two sites, specifically in the numbers of users and in the number of performed tests. This is coherent and, in a certain sense, expected because it is correlated with the average number of visitors to each site.