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Terminological system maintenance: a procedures framework and an exploration of current practice
Ferishta Raiez1, Danielle Arts, Ronald Cornet
1Department of Medical Informatics, Academic Medical Center, Universiteit van Amsterdam,Amsterdam, the Netherlands. f.raiez@amc.uva.nl
Studies in Health Technology and Informatics
|September 15, 2005
Summary
Maintaining medical terminological systems is crucial for electronic data. This study presents a framework to standardize and improve the suboptimal processes currently used by organizations managing these vital systems.
Area of Science:
- Medical Informatics
- Health Data Management
- Terminology Standards
Background:
- Electronically stored data necessitates structured and standardized recording, leading to the development of medical terminological systems.
- The dynamic nature of medical advancements requires continuous updates to these terminological systems.
- Current practices for maintaining medical terminologies vary significantly among organizations.
Purpose of the Study:
- To establish criteria for the effective maintenance of terminological systems.
- To develop a management framework for the terminology maintenance process.
- To address deficiencies in current terminology maintenance procedures.
Main Methods:
- A literature study was conducted to identify criteria for maintaining terminological systems.
- A survey was administered to twenty-seven organizations actively maintaining terminological systems.
- Analysis of survey data to explore current maintenance practices.
Main Results:
- Key criteria for terminology maintenance were identified through literature review.
- Survey results indicated significant diversity and suboptimality in existing maintenance processes.
- A framework for managing the maintenance process was developed based on the findings.
Conclusions:
- The developed framework offers a structured approach to improve terminology maintenance.
- Implementing this framework can help standardize the maintenance of medical terminological systems.
- This work is a significant step towards ensuring the quality and consistency of medical data.