Computer-interpretable guidelines, data integation, data mapping, ontological mapper, Electronic-Medical Record systems, EMR, EHR
developed by
Haifa University, Isael
introduced
2006
status
Under development
support
in use
Under evaluation.
tools
description
KDOM is a relatively new project which aims to support the implementation of
computer-interpretable guidelines in clinical practice by
providing an ontological method to map
abstractions used in
Computer-Interpretable Guidelines (CIGs) to patient
data stored in institutional Electronic-Medical Record systems.
references
Peleg M, Keren S, Denekamp Y.
Mapping computerized clinical guidelines to electronic medical records: Knowledge-data ontological mapper (KDOM).
J Biomed Inform. 2007 May 16
"Clinical guidelines recommend quality standards for patient care.
Encoding guidelines in a computer-interpretable format and integrating them with an
Electronic Medical Record (EMR) can enable delivery of patient-specific recommendations
when and where needed. GLIF3 is a language for representing computer-interpretable
guidelines (CIGs) and sharing them among healthcare institutions. Sharing a CIG necessitates
mapping its data items to the institutional EMRs. We developed a framework called
Knowledge-Data Ontological Mapper (KDOM) that enables bridging the gap from abstractions
used in CIGs to specific EMRs. Briding the gap involves: (1) using an ontology of mappings,
and an optional reference information model, to map an abstraction gradually into EMR codes,
and (2) automatically creating SQL queries to retrieve the EMR data. We evaluated the
KDOM framework by mapping a GLIF3-encoded guideline into two different EMR schemas and by
using the mapping ontology to define mappings from 15 GLIF3 CIGs and one SAGE CIG into our
reference information model."
contact
Mor Peleg
Department of Management Information Systems
Rabin Bldg., room 7047
Faculty of Social Sciences
University of Haifa
Haifa, Israel, 31905
KDOM
mis.hevra.haifa.ac.il
KDOM