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Description and status update on GELLO: a proposed standardized object-oriented expression language for clinical
Margarita Sordo1, Aziz A Boxwala, Omolola Ogunyemi
1Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. msordo@dsg.harvard.edu
Studies in Health Technology and Informatics
|September 14, 2004
Summary
Sharing computable clinical knowledge requires a common language. GELLO (Guideline Enhanced LOgical Language) offers an object-oriented solution compatible with HL7 standards, overcoming limitations of previous systems.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Knowledge Representation
Background:
- Sharing computable clinical knowledge is hindered by the absence of a standardized expression language.
- Existing solutions like Arden Syntax have limitations in generalizing to object-oriented data models, such as HL7's.
Purpose of the Study:
- To introduce GELLO (Guideline Enhanced LOgical Language) as a novel, object-oriented language for specifying clinical knowledge expressions and criteria.
- To address the limitations of existing languages in supporting HL7's object-oriented data model for clinical decision support.
Main Methods:
- GELLO is designed as an object-oriented expression language based on the vendor-independent, side-effect-free Object Constraint Language (OCL).
- GELLO is developed for use with the GuideLine Interchange Format (GLIF3) and is compatible with the HL7 Reference Information Model (RIM).
- GELLO is being developed under the HL7 Clinical Decision Support Technical Committee as a proposed HL7 standard.
Main Results:
- GELLO provides a standardized, object-oriented approach for defining decision criteria, formulae, and data constraints.
- Its foundation in OCL ensures vendor independence and a focus on logical computation without side effects.
- Compatibility with HL7 RIM facilitates integration within existing healthcare information systems.
Conclusions:
- GELLO offers a robust solution for the common language obstacle in sharing computable clinical knowledge.
- Its object-oriented nature and HL7 compatibility position it as a key advancement for clinical decision support systems.