Abstract: A system receives medical data from multiple physiological monitor devices in various forms and formats. A data normalization process identifies each attribute type in the medical data reported by each device and assigns a unique attribute identifier. All parameters associated with an attribute are also identified and assigned a unique parameter identifier. The data normalization process uses this information to create a standardized data set for analysis. A rules processing engine applies alert and reporting rules to the standardized data set to generate a patient report and alerts for patient data that is beyond thresholds defined by the alert rules. The system provides default alert rules that may be overridden by clinic rule or manufacturer rules. Artificial intelligence (AI) principles may be applied using training set(s) of data to teach the rules processing engine to use the AI alert rules for data analysis.