Battery Optimized for Long Term Storage and Intermittent Use

The objective of this effort is to develop an integrated system for Patient-Clinician Encounter Information Visualization Model (PCEIVM) that will exhibit a mechanism of intelligent interactivity. The project will explore advanced 3D visualizationinterface techniques that incorporate adaptive patient encounter models as well as machine reasoning about the immediate information needs of clinicians. The ultimate goal is to allow for more cooperative, and thereby intelligent, reasoning betweenclinicians and patient's data models and more cognitive presentation of clinical data. The implemented PCEIVM system (to be initially demonstrated in Phase I and shrink-wrapped in Phase II) is expected to yield robust performance in a qualitative term ofbetter informational management of patient-clinician encounters. The commercial potential for this technology will be pursued with the Department of Defense (e.g., TRICARE - the Department of Defense healthcare program for military families and retirees)and non-government healthcare organizations. Specifically, the technologies developed under this SBIR project should be readily applicable to those HMO type healthcare provider commercial sectors that encompass a full range of services from outpatientprimary care in remote clinics to intensive care within large teaching medical centers.