FitFyles wanted to take the next step with all the data that it had collected by offering the healthseeker a comparison of their prescription with others of similar profile. They called it "Third Opinion" This would allow the healthseeker to benchmark this prescription with the peers and allow them to seek second opinion or ask more informed questions from their doctors if needed. The major challenges for this feature were :
Terabyte-scale data volume: There are over 50 million unique prescriptions in over 1.5 billion user-generated medical record entries.
Need for fast processing performance: The prescription data required a quick matching against the drug database and other clinical conditions to eradicate false matches or recommendations.
Diverse and complex analytics algorithm needs: As part of the verification process, the member-input data needed to be normalized (e.g. removal of stop words, lower-case conversion), de-duplicated, and aggregated by a wide array of machine learning algorithms.