Abstract: An automated patient-management system for efficiently reporting patient information to clinicians, and a method of operation thereof is described. The system automatically collects and analyzes historic-physiologic data indicative of a patient's health from a myriad of sources. Based on the historic-physiologic data, the system automatically generates a health-risk score indicative of whether a patient will experience a serious-medical event in the near future (e.g., a predetermined time interval). The system uses a processing model that may rely on Hierarchical-Temporal Memory techniques and other models, for extracting and analyzing patient data. The system also generates an integrated synopsis of a patient's health condition, including the health-risk score. The synopsis is then presented (served) to a clinician in an organized, simplified, and effective manner via a client-side user interface.