Literature DB >> 18487826

Cross-mapping APACHE IV "reasons for intensive care admission" classification to SNOMED CT.

F Bakhshi-Raiez1, R Cornet, N F de Keizer.   

Abstract

The APACHE IV classification is used to capture diagnostic information for calculation of mortality risks in intensive care (IC). The lack of structured and formal definitions for concepts in APACHE IV classification as in any classification results in shortcomings when scaling up for re-use. The use of SNOMED CT as a reference terminology can address these shortcomings. However, all of SNOMED CT contains large amounts of information that is irrelevant for IC. By building an interface terminology (IfT) based on SNOMED CT and APACHE IV, it is possible to isolate the IC users from the complexity of SNOMED CT while enabling standardized data registration. Within this study, a mapping is realized from the APACHE IV classification to SNOMED CT. The results of the mapping will be used to identify a relevant SNOMED CT subset for the development of an IC-specific IfT. The vast majority of the diagnostic categories in APACHE IV could be mapped to one or more SNOMED CT concepts (83.8%) and for the remaining concept a partial match was identified (16%). The good mapping results will provide a SNOMED CT subset sufficient for developing an IC-specific IfT. Finally, lessons learned in this study are valuable for other researchers who intend to realize a mapping from a classification to SNOMED CT.

Mesh:

Year:  2008        PMID: 18487826

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Identifying inconsistencies in SNOMED CT problem lists using structural indicators.

Authors:  Ankur Agrawal; Yehoshua Perl; Yan Chen; Gai Elhanan; Mei Liu
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

2.  Derivation and validation of automated electronic search strategies to identify pertinent risk factors for postoperative acute lung injury.

Authors:  Anas Alsara; David O Warner; Guangxi Li; Vitaly Herasevich; Ognjen Gajic; Daryl J Kor
Journal:  Mayo Clin Proc       Date:  2011-05       Impact factor: 7.616

3.  Mapping physicians' admission diagnoses to structured concepts towards fully automatic calculation of acute physiology and chronic health evaluation score.

Authors:  Subhash Chandra; Rahul Kashyap; Cesar A Trillo-Alvarez; Mykola Tsapenko; Murat Yilmaz; Andrew C Hanson; Brian W Pickering; Ognjen Gajic; Vitaly Herasevich
Journal:  BMJ Open       Date:  2011-11-14       Impact factor: 2.692

  3 in total

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