An Intelligent Patient Data Review Assistant

Continuing advances in computer networking, distributed computing, and the standardization and exchange of medical information make it possible for clinicians to retrieve increasing amounts of patient data on-line. However, accessing upwards of hundredsof pages of data for each patient can overwhelm the clinician who may have just a few minutes before and during each 15 or 20-minute patient visit to review the patient's records. To help clinician review patient data more effectively, we proposed todevelop an Intelligent Patient Data Review Assistant (IPDRA) software system that selects an initial subset of the patient's records that are of greatest relevance to the patient visit, presents information to the clinician in the most effective manner,and responds to additional requests for other information about the patient. During Phase I, we worked with clinicians on our project team and at the Army to determine system requirements, develop a high-level design, and design and prototype mock-ups ofinteractive, patient data views. For Phase II, we propose to develop and evaluate an operational prototype that convincingly demonstrates IPDRA's usefulness and feasibility.