James J. Cimino

TL;DR: Development of a general natural-language processor that identifies clinical information in narrative reports and maps that information into a structured representation containing clinical terms, using radiology as the test domain.

TL;DR: In this paper, the authors discuss the future of medical computing applications in health care, including computer-based patient-record systems, information-retrieval systems, and decision support systems.

TL;DR: This paper brings together some of the common themes which have been described, including: vocabulary content, concept orientation, concept Orientation, concept permanence, nonsemantic concept identifiers, polyhierarchy, formal definitions, rejection of "not elsewhere classified" terms, multiple granularities, multiple consistent views, context representation, graceful evolution, and recognized redundancy.

TL;DR: A list of caveats is developed to inform would-be users of such data as well as provide an informatics roadmap that aims to insure this opportunity to augment comparative effectiveness research can be best leveraged.

TL;DR: A key element in the distribution of DXplain is the planned collaboration with its physician-users whose comments, criticisms, and suggestions will play an important role in modifying and enhancing the knowledge base.