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Quantifying Pain Location and Intensity with Multimodal Pain Body Diagrams
Published on: July 7, 2023
Contributing pain assessment concepts to a controlled terminology
Cyndalynn Tilley1, Susan Matney
1Intermountain Health Care, Salt Lake City, Utah 84120, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
Summary
This project developed a pain assessment information model to identify necessary concepts for Logical Observation Identifiers, Names and Codes (LOINC). The goal was to establish standardized LOINC codes for pain assessment data.
Area of Science:
- Health Informatics
- Pain Management
- Medical Terminology
Background:
- Standardized data representation is crucial for effective pain assessment and research.
- Existing terminologies may not fully capture the multi-disciplinary nature of pain assessment.
- The Logical Observation Identifiers, Names and Codes (LOINC) system is a widely adopted standard for health measurements.
Purpose of the Study:
- To identify essential concepts for pain assessment within a multi-disciplinary information model.
- To propose these concepts for inclusion as standardized Logical Observation Identifiers, Names and Codes (LOINC) codes.
- To facilitate the creation and adoption of LOINC codes for pain assessment.
Main Methods:
- Development of a multi-disciplinary pain assessment information model.
- Systematic identification of key concepts within the model relevant to LOINC.
- Submission of proposed concepts and codes to the LOINC committee for review and approval.
Main Results:
- Identification of a comprehensive set of concepts for multi-disciplinary pain assessment.
- Successful submission of proposed LOINC codes to the LOINC committee.
- Initiation of the process for creating standardized LOINC codes for pain assessment.
Conclusions:
- A multi-disciplinary pain assessment information model can effectively identify concepts for LOINC standardization.
- The proposed LOINC codes will enhance data consistency and interoperability in pain assessment.
- Standardized LOINC codes will improve the usability and sharing of pain assessment data across healthcare systems.
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