Development Of A Vaccine For The Treatment And/Or Prevention Of Cancer

Continuing advances in computer networking, distributed computing, and the standardization and exchange of medical information are making it possible for clinicians to retrieve increasing amounts of patient data on-line. However, accessing upwards ofhundreds of pages of data for each patient can overwhelm the clinician who may have just a few minutes before and during each brief patient encounter to review the patient's records.We propose to develop an Intelligent Patient Data Review Assistant (IPDRA), a web-based, intelligent user interface that will enable clinicians to visualize interactive, graphical reports of patient data gathered from heterogeneous, distributed, electronichealth records databases. IPDRA will help clinicians review patient data more effectively by selecting an initial subset of the patient's records that are of greatest relevance to the patient encounter, presenting information to the clinician in the mosteffective manner, and responding to (or anticipate) additional requests for other information about the patient. Our interdisciplinary project team will apply expertise that spans clinical practice, clinical information and data visualization systems,user interfaces to clinical systems, artificial intelligence, knowledge management, and intelligent information retrieval systems. We plan to use the IPDRA technology to create and market an application framework that can be used as a foundation for providing IPDRA-like assistance and clinical knowledge management to hospitals and HMOs. This framework would include a knowledge baseof template-based and adaptive reporting capabilities that rely upon clinical reasoning expertise stored in IPDRAs knowledge base. Customers would be able to extend the IPDRA knowledge base and adapt the data access subsystems to interface with theirparticular patient record systems.