Reading medical records is onerous, error-prone, and time-consuming and interpreting medical records manually increases costs significantly. Our proprietary AI technology automatically parses, summarizes, and extracts relevant data from a medical chart. After intake, we perform standard machine learning processing tasks such as tokenization and stop word removal. At this step, we also gather and analyze industry-related referential data, but to further aid this process we have also created algorithms that provide complex configurations to optimize any specific client requirements needed. We can topically and chronologically organize the records enabling swift reference and quality interpretation, thus improving clinicians’ quality and productivity in analyzing medical records.