The BEAMER Adherence Intelligence Visualization Platform (AIVP) is a digital health tool designed to support healthcare professionals in managing patient adherence to treatment. This preliminary study evaluates the platform’s usability, acceptance, and trust among healthcare professionals and researchers using a mixed-methods approach. Data were collected through face-to-face (n = 11) and online (n = 9) evaluations, and analyzed using the System Usability Scale (SUS), Technology Acceptance Model (TAM), and Human-Computer Trust Model (HCTM). Results showed an overall SUS score of 70%, indicating acceptable usability, with higher scores in online evaluations (74.72%) compared to face-to-face (66.14%). TAM scores reflected positive acceptance (74.25%), and HCTM scores demonstrated moderate trust (67.64%), with consistent results across evaluation methods. Differences between evaluation formats suggest the platform may be particularly suited for remote healthcare settings. These findings highlight the BEAMER AIVP’s potential as a promising tool for improving medication adherence while identifying areas for enhancement, such as reducing complexity and building trust. Future research should focus on refining the platform and exploring its integration into clinical workflows.