Optimal Data Architecture for an Telemedicine Analytic Platform

Abstract

The usage of telemedicine applications can generate terabytes of CDRs (Call Detail Records) everyday, corresponding to the voice and data traffic exchanged. The paper focuses on proposing the optimal data architecture and data modelling solution for an analytic platform designed to process CDRs generated by telemedicine applications. An analysis of CDR data could enable valuable insights that may represent a future basis for key decisions to improve the medical services offering.