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Merging multimedia presentations and semistructured temporal data: a graph-based model and its application to
Carlo Combi1, Barbara Oliboni, Rosalba Rossato
1Dipartimento di Informatica, Università degli studi di Verona, Ca' Vignal 2, Strada le Grazie 15, I-37134 Verona, Italy. carlo.combi@univr.it
Artificial Intelligence in Medicine
|May 17, 2005
Summary
This study introduces the Multimedia Temporal Graphical Model (MTGM) for seamlessly representing temporal and multimedia clinical data. Physicians can now manage semistructured medical information and presentations using this XML-based system.
Area of Science:
- Medical Informatics
- Database Systems
- Multimedia Systems
Background:
- Semistructured data, often irregular and lacking a fixed schema, frequently capture historical information.
- XML is emerging as a standard for semistructured clinical data representation in medical informatics.
- Integrating multimedia objects with temporal aspects is crucial for data modeling, querying, and presentation in multimedia databases.
Purpose of the Study:
- To enable physicians to represent temporal aspects of multimedia semistructured data and their presentation requirements seamlessly.
- To develop a data model for describing temporal and multimedia features of semistructured clinical information.
Main Methods:
- Proposed the Multimedia Temporal Graphical Model (MTGM) for a cardiology patient database.
- Developed techniques for translating MTGM data into XML documents.
- Created methods to generate Synchronized Multimedia Integration Language (SMIL) presentations from MTGM.
Main Results:
- MTGM facilitates the representation and storage of clinical information in a semistructured, temporal, multimedia database.
- Physicians can create multimedia presentations based on stored data, which are integrated into the MTGM database.
- A prototype system utilizing an XML native database was designed and implemented.
Conclusions:
- MTGM offers a theoretical and methodological framework for temporal and multimedia semistructured clinical data.
- While MTGM is useful for managing multimedia data (MPEG, DICOM) and clinical knowledge exchange via XML, further enhancements are possible.
- Future work could include supporting variable time granularities, indeterminacy, and additional temporal dimensions (transaction, availability times).