Title :
Development Common Data Model for Adverse Drug Signal Detection Based on Multi-Center EMR Systems
Author :
Mi Jung Rho ; Si Ra Kim ; Seung Ho Park ; Kwang Soo Jang ; Bum Joon Park ; In Young Choi
Author_Institution :
Grad. Sch. of Healthcare Manage. & Policy, Catholic Univ. of Korea, Seoul, South Korea
Abstract :
The drug safety monitoring based on EMR system is able to collect more objective pharmacovigilance data and analyze adverse drug reaction (ADR) earlier than spontaneous ADR reporting. This study developed the Korea ADR common data model (K-ADR CDM) for early detection of adverse drug reaction which is feasible for Korean EMR systems. To do that, we analyzed previously studied data model from two prominent drug safety surveillance researches: Mini-Sentinel data model and Observational Medical Outcomes Partnership (OMOP) data model. The K-ADR CDM of eight tables which contain demographic table, drug table, visit table, procedure table, diagnosis table, death table, laboratory table and organization table. Each table consists of 5~12 fields. In addition, controlled terminology will be applied to integrate different EMR systems. To validate the data model of K-ADR, EMR data of S hospital was exported and mapped with the K-ADR. Further efforts for the standardization of procedure code and laboratory code will be needed for multi-institutional pharmacovigilance database system. The pharmacovigilance activity based EMR system will be cost-effective method to detect ADR signals.
Keywords :
data models; distributed databases; drugs; hospitals; medical information systems; standardisation; ADR analysis; ADR signal detection; K-ADR CDM; Korea ADR common data model development; Korean EMR systems; MiniSentinel data model; OMOP data model; Observational Medical Outcomes Partnership data model; S hospital; adverse drug reaction analysis; adverse drug reaction detection; adverse drug signal detection; death table; demographic table; diagnosis table; drug safety monitoring; drug safety surveillance research; drug table; laboratory code standardization; laboratory table; multicenter EMR systems; multiinstitutional pharmacovigilance database system; objective pharmacovigilance data collection; organization table; pharmacovigilance activity-based EMR system; procedure code standardization; procedure table; visit table; Data models; Drugs; Hospitals; Medical diagnostic imaging; Organizations; Safety; Standards;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579355
