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Development of an information model for solid organ transplantation.
Catherine J Staes1, Stanley M Huff, Cyndalynn Tilley
1Department of Medical Informatics, University of Utah, Salt Lake City, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
Summary
Managing transplant patient and donor data is complex. An extendable information model was developed to streamline care processes following liver transplantation, avoiding data management issues.
Area of Science:
- Medical Informatics
- Transplantation Medicine
- Health Information Systems
Background:
- Managing information for transplant patients and donors is complex due to the need to integrate data from different individuals.
- Existing data models, such as LOINC codes with specific system axes, can lead to significant data management challenges (combinatorial explosion).
Purpose of the Study:
- To design and implement an extendable information model for managing complex data in liver transplantation care.
- To address the challenges of integrating patient and donor information within a unified system.
Main Methods:
- Evaluation of existing workflow processes, data collection forms, and decision support requirements.
- Design and implementation of a novel, extendable information model tailored for post-liver transplantation care.
Main Results:
- The developed information model effectively supports the complex information needs of liver transplant patient and donor management.
- The model provides a scalable solution to avoid data management issues like combinatorial explosion.
Conclusions:
- An extendable information model is crucial for efficient and accurate management of transplant patient and donor data.
- This approach enhances the process of care following liver transplantation by simplifying data integration and use.