The pervasive adoption of digital technologies in healthcare has resulted in an exponential increase in the volume of sensitive patient data being collected, processed and shared. This necessitates a paradigm shift towards enhanced transparency and user empowerment regarding data handling practices. Privacy quantification can help address such challenges by translating complex policy analyses into easily interpretable, quantifiable metrics that provide users with actionable insights into the privacy risks associated with different healthcare services. In this paper, we propose a prototype of an application, named SCALE, which focuses on providing a user-friendly design interface to represent the results of privacy quantification in an accessible way. SCALE aims to enable users to make informed decisions and exercise greater control over the privacy of their personal health information. We discuss usability tests and metrics used to evaluate our prototype. Most tasks were completed efficiently, and generally, users considered the privacy SCALE adequate for its purpose. After analyzing the results, we also propose a set of recommendations for this type of privacy representation.