Hospital care watch (HCW) is a prototype medical intelligent assistant to improve patient care and safety and to reduce medical errors in the hospital setting. The system is based on an ontology of hospital care concepts including hospital activities, procedures, and policies, and insurance policies, as well as medical knowledge per se. A set of abstract rule types model general situations that need to be identified to detect potential problems and particular instantiations of those rule types identify individual situations. The system is not designed to provide medical diagnosis or other professional decision making; but rather to track the implications of such medical decisions taken by physicians and other medical professionals within the context of the guidelines and regulations of the medical environment, and the background of established medical knowledge.

Article Free Access Share on The constituent object parser: syntactic structure matching for information retrieval Authors: D. P. Metzler Department of Information Science, University of Pittsburgh Department of Information Science, University of PittsburghView Profile , S. W. Haas Department of Information Science, University of Pittsburgh Department of Information Science, University of PittsburghView Profile Authors Info & Claims SIGIR '89: Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrievalMay 1989Pages 117–126https://doi.org/10.1145/75334.75348Published:01 May 1989Publication History 6citation344DownloadsMetricsTotal Citations6Total Downloads344Last 12 Months15Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

The architecture and functioning of the Constituent Object Parser are described. This system has been developed specifically for text processing applications such as information retrieval, which can benefit from structural comparisons between elements of text such as a query and a potentially relevant abstract. The general way in which the system performs these matches, and the ways in which this objective influenced the design of the system are described. The parsing architecture incorporates several interesting features including: (1) an unusual combination of declarative and procedural representation techniques, (2) a monotonic discipline which permits useful heuristic approaches to difficult linguistic problems such as ellipsis, conjunction, ambiguity, and ill-formed and incomplete input, and (3) an attempt to minimize the level of syntactic detail required in both the grammar and the lexicon. © 1989 John Wiley & Sons, Inc.

The Constituent Object Parser is a shallow syntactic parser designed to produce dependency tree representations of syntactic structure that can be used to specify the intended meanings of a sentence more precisely than can the key terms of the sentence alone. It is intended to improve the precision/recall performance of information retrieval and similar text processing applications by providing more powerful matching procedures. The dependency tree representation and the relationship between the intended use of this parser and its design is described, and several problems concerning the processing of ambiguous structures are discussed.