DocumentCode
1766929
Title
Electronic health record to support Chronic Kidney Disease prevention — Integrating guidelines and archetypes
Author
Garcia, D. ; Cintho, Lilian Mie Mukai ; Cabral Moro, Claudia Maria
Author_Institution
Health Technol. Postgrad. Program, Pontifical Catholic Univ. of Parana, Curitiba, Brazil
fYear
2014
fDate
1-4 June 2014
Firstpage
193
Lastpage
196
Abstract
As Chronic Kidney Disease (CKD) incidence in the world is increasing, preventive actions are necessary. Integration of Clinical Practice Guidelines (CPG) into the Electronic Health Record (EHR) may facilitate prevention. Thereby identification of data described in CPGs and representation of these data into EHR, are difficulties to develop a guideline-based EHR for prevention. Archetypes allow representation of information contained in CPG, applying the same format across all EHR´s modules. Therefore, the objective of this research was to develop an EHR including decision support structured in archetypes and based on CPG for CKD prevention. The EHR system developed follows five steps: identification of the data and the rules specified in the guideline; archetype elaboration; definition and inclusion of rules in a rule-based inference engine and elaboration of the DSS; DSS-EHR integration; and DSS validation. Eight archetypes and forty rules composes the resulting system.
Keywords
data integration; data structures; decision support systems; diseases; electronic health records; inference mechanisms; kidney; knowledge based systems; knowledge representation; medical computing; CKD prevention; CPG; Clinical Practice Guidelines; DSS elaboration; DSS validation; DSS-EHR integration; EHR modules; EHR system; archetype elaboration; archetype integration; chronic kidney disease prevention; data identification; data representation; decision support structures; electronic health record; guideline-based EHR; guidelines integration; information representation; preventive actions; rule definition; rule identification; rule inclusion; rule-based inference engine; Decision support systems; Diseases; Electronic medical records; Engines; Guidelines; Informatics; Kidney;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on
Conference_Location
Valencia
Type
conf
DOI
10.1109/BHI.2014.6864337
Filename
6864337
Link To Document