A Graph-Grammar Approach to Represent Causal, Temporal and Other Contexts in an Oncological Patient Record
| Autor: | Klaus Pommerening, Robert Müller, C Rohrbach, M. Sergl, O. Thews |
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| Rok vydání: | 1996 |
| Předmět: |
Advanced and Specialized Nursing
Grammar business.industry media_common.quotation_subject Health Informatics Patient record computer.software_genre Graphical tools Data modeling Neglect Health Information Management Pediatric oncology Medicine Graph (abstract data type) Artificial intelligence business Heuristics computer Natural language processing media_common |
| Zdroj: | Methods of Information in Medicine. 35:127-141 |
| ISSN: | 2511-705X 0026-1270 |
| DOI: | 10.1055/s-0038-1634641 |
| Popis: | The data of a patient undergoing complex diagnostic and therapeutic procedures do not only form a simple chronology of events, but are closely related in many ways. Such data contexts include causal or temporal relationships, they express inconsistencies and revision processes, or describe patient-specific heuristics. The knowledge of data contexts supports the retrospective understanding of the medical decision-making process and is a valuable base for further treatment. Conventional data models usually neglect the problem of context knowledge, or simply use free text which is not processed by the program. In connection with the development of the knowledge-based system THEMPO (Therapy Management in Pediatric Oncology), which supports therapy and monitoring in pediatric oncology, a graph-grammar approach has been used to design and implement a graph-oriented patient model which allows the representation of non-trivial (causal, temporal, etc.) clinical contexts. For context acquisition a mouse-based tool has been developed allowing the physician to specify contexts in a comfortable graphical manner. Furthermore, the retrieval of contexts is realized with graphical tools as well. |
| Databáze: | OpenAIRE |
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