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A set of NooJ Grammars to verify laboratory data correctness.

Semantic interoperability in clinical processes is necessary to exchange
meaningful information among healthcare facilities. Standardized classification
and coding systems allow for meaningful information exchange. This
paper aims to support the accuracy validation of mappings between local and
standardized clinical content, through the construction of NooJ syntactical
grammars for recognition of local linguistic forms and detection of data correctness
level. In particular, this work deals with laboratory observations, which
are identified by idiosyncratic codes and names by different facilities, thus creating
issues in data exchange. The Logical Observation Identifiers Names and
Codes (LOINC) is an international standard for uniquely identifying laboratory
and clinical observations. Mapping local concepts to LOINC allows to create
links among health data systems, even though it is a cost and time-consuming
process. Beyond this, in Italy LOINC experts use to manually double check all
the performed mappings to validate them. This has over time become a nontrivial
task because of the dimension of laboratory catalogues and the growing
adoption of LOINC. The aim of this work is realizing a NooJ grammar system
to support LOINC experts in validating mappings between local tests and
LOINC codes. We constructed syntactical grammars to recognize local linguistic
forms and determine data accuracy, and the NooJ contextual constraints to
identify the threshold of correctness of each mapping. The grammars created
help LOINC experts in reducing the time required for mappings validation.


2018

External authors: Francesca Parisi (Università della Calabria)
IIT authors:

Type: Contributo in volume
Field of reference: Information Technology and Communication Systems

File: Parisi Chiaravalloti_Nooj 2018_final.pdf

Activity: Interventi a supporto della realizzazione del fascicolo sanitario elettronico