The long-term goals of this proposal are to develop a medical digital library, which will provide domain- and task-specific information to support patient care, medical research and education.
The specific aims of this proposal are to develop a system that organizes and identifies reputable domain-specific information sources; provide users with greater expressive query power and precision; extract knowledge from medical data to support value-, and similarity, and content- based cross- referencing; provide access to prospective teaching and research cases; and support user- and device-specific information retrieval. Current large-scale information systems are designed to support general queries and lack the ability to support domain specific information gathering, navigation, and presentation. As a result, users are often unable to obtain desired specific information within a well-defined subject area. In medicine, appropriate information can make the difference between a proper diagnosis and an incorrect one. Medical records, teaching files and literature are scattered amongst many different data sources. New methods to provide unified access are needed for user-oriented applications. We propose to develop the following innovative methods to remedy these problems: (1) Scenario-based proxies, enabling the gathering and filtering of information customized for users within a pre-defined domain; 92) Context-sensitive navigation and matching, providing approximately matching and similarity links when an exact match to a user's request is unavailable; and (3) User and device models for customization of retrieved information and result presentation. A digital file room will be constructed using these techniques to provide customized information for the user. A scenario-based proxy provides a well-define focused information web allowing for intelligent navigation specific to a given scenario. A laboratory test-bed will be developed to study and validate the proposed system. Based on the laboratory results a prototype system will be developed for a well-circumscribed population and its effectiveness will be evaluated.
| Morioka, Craig; Dionisio, John David N; Bui, Alex et al. (2007) StructConsult: structured real-time wet read consultation infrastructure to support patient care. Stud Health Technol Inform 129:429-33 |
| Sinha, Usha; Kangarloo, Hooshang (2002) Image study summarization of MR brain images by automated localization of relevant structures. Ann N Y Acad Sci 980:278-86 |
| Bui, Alex A T; Taira, Ricky K; Dionisio, John David N et al. (2002) Evidence-based radiology: requirements for electronic access. Acad Radiol 9:662-9 |
| Morioka, Craig A; Sinha, Usha; Taira, Ricky et al. (2002) Structured reporting in neuroradiology. Ann N Y Acad Sci 980:259-66 |
| Bui, Aleex A T; Taira, Ricky K; Churchill, Bernard et al. (2002) Integrated visualization of problemcentric urologic patient records. Ann N Y Acad Sci 980:267-77 |
| Dionisio, John David N; Bui, Alexander A T; Johnson, David et al. (2002) Designing a patient education framework via use case analysis. Ann N Y Acad Sci 980:225-35 |
| Son, Roderick Y; Taira, Ricky K; Bui, Alex A T et al. (2002) A context-sensitive methodology for automatic episode creation. Proc AMIA Symp :707-11 |
| Goldin, Jonathan G (2002) Quantitative CT of the lung. Radiol Clin North Am 40:145-62 |
| Bui, Alex A T; Weinger, Gregory S; Barretta, Susan J et al. (2002) An XML Gateway to Patient Data for Medical Research Applications. Ann N Y Acad Sci 980:236-46 |
| Bui, Alex A T; Dionisio, John David N; Morioka, Craig A et al. (2002) DataServer: an infrastructure to support evidence-based radiology. Acad Radiol 9:670-8 |
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