Back

Feasibility of converting Japanese oncology electronic medical records into the Observational Medical Outcomes Partnership Common Data Model and data quality assessment

2025-06-16 health informatics Title + abstract only
View on medRxiv
Show abstract

The potential of utilizing Japanese electronic medical record (EMR) data in global observational research is significant because of high EMR adoption and universal health insurance. However, a few studies have addressed the conversion of Japanese EMR data to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) standard, which regulates EMR data for global observational research. In this study, we investigated the feasibility of converting Japanese oncology EMR data to the ...

Predicted journal destinations

1
BMC Medical Informatics and Decision Making
36 training papers
#1 11.3%
2
Journal of the American Medical Informatics Association
53 training papers
Top 2% 10.5%
3
PLOS ONE
1737 training papers
Top 58% 10.5%
4
JAMIA Open
35 training papers
Top 0.9% 7.5%
5
Journal of Medical Internet Research
81 training papers
Top 2% 7.5%
6
Scientific Reports
701 training papers
Top 49% 5.7%
7
Journal of Biomedical Informatics
37 training papers
Top 2% 5.7%
8
PLOS Digital Health
88 training papers
Top 5% 4.8%
9
JMIR Medical Informatics
16 training papers
Top 0.5% 3.7%
10
International Journal of Medical Informatics
25 training papers
Top 1% 3.7%
11
BMC Medical Research Methodology
41 training papers
Top 2% 1.9%
12
JAMA Network Open
125 training papers
Top 10% 1.9%
13
npj Digital Medicine
85 training papers
Top 11% 1.9%
14
Computers in Biology and Medicine
39 training papers
Top 4% 1.9%
15
BMJ Open
553 training papers
Top 55% 1.5%
16
BMC Health Services Research
43 training papers
Top 4% 1.3%
17
JMIR Formative Research
31 training papers
Top 4% 1.1%
18
Cancer Medicine
17 training papers
Top 4% 1.1%
19
Frontiers in Digital Health
18 training papers
Top 3% 0.9%
20
Cancers
57 training papers
Top 7% 0.9%
21
Frontiers in Public Health
135 training papers
Top 29% 0.9%
22
JMIR Public Health and Surveillance
45 training papers
Top 6% 0.9%
23
Scientific Data
30 training papers
Top 5% 0.7%
24
Patterns
15 training papers
Top 4% 0.7%
25
International Journal of Environmental Research and Public Health
116 training papers
Top 34% 0.7%