ArticleHealthcare informatics research2016
Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research.
Article in Healthcare informatics research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review.Advances in health information science and practice · 2026Pooled it
- Impact of pitavastatin on new-onset diabetes mellitus compared to atorvastatin and rosuvastatin: a distributed network analysis of 10 real-world databases.Cardiovascular diabetology · 2022 · on this mapPooled it
- Comparison of telmisartan with losartan, valsartan, and candesartan on the risk of new-onset diabetes mellitus.Journal of human hypertension · 2026Article
- GLP-1 Receptor Agonists for Weight Loss and Risk of Major Safety Outcomes: A Multicentre Cohort Study.Diabetes, obesity & metabolism · 2026Article
- Elevated C-reactive Protein Levels and Malignant Transformation Risk in Patients With Oral Mucosal Diseases.International dental journal · 2026Observational
- Antidepressants and the risk of hyponatremia: A multi-institutional cohort study using observational medical outcomes partnership-Common Data Model.British journal of clinical pharmacology · 2026Observational
- A Practical Approach to Assessing the Completeness of Electronic Health Records for Medical Research: Data Quality Study.JMIR medical informatics · 2026Article
- Comparison of Cardiovascular Events in Patients Receiving Concomitant Clopidogrel and Proton Pump Inhibitors Classified by CYP2C19 Inhibitory Potency.Arteriosclerosis, thrombosis, and vascular biology · 2026Observational
- Association Between Statin Use and Non-Melanoma Skin Cancer Risk: A Distributed Network Analysis of 11 Real-World Databases.Annals of dermatology · 2026Article
- Risks of autoimmune and inflammatory post-acute COVID-19 conditions: a network cohort study in six European countries, the USA and Korea.BMJ public health · 2026Article
- Analysis of Treatment Pattern of Antiplatelet in First-Ever Ischemic Stroke Without Previous Antiplatelet Use: A Real-World Distributed Network Analysis of 11 Observational Korean Databases Using a Common Data Model.Journal of Korean medical science · 2025Observational
- Impact of Hydrochlorothiazide on Nonmelanoma Skin Cancer: A Distributed Network Analysis of 11 Real-world Databases.Annals of dermatology · 2025Article
- Comprehensive Evaluation of Treatment Patterns in Postmenopausal Patients with Osteoporosis without Fractures: Insights from Tertiary Care Institutions and Nationwide OMOP-CDM Data.Endocrinology and metabolism (Seoul, Korea) · 2025Article
- Comparative Effectiveness and Safety of Moderate-Intensity Pravastatin Versus Atorvastatin in Patients with Dyslipidemia: A Retrospective Cohort Study Using a Common Data Model of Multicenter Electronic Health Records in South Korea.Journal of atherosclerosis and thrombosis · 2025Article
- Semiautomatic mapping of a national drug terminology to standardised OMOP drug concepts using publicly available supplementary information.BMC medical research methodology · 2025Article
- Impact of Regulatory Post-Market Safety Advisories on Prescribing Practices: An Interrupted Time Series Analysis.Clinical pharmacology and therapeutics · 2025Article
- Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review.Healthcare informatics research · 2025Article
- Comparison of Finasteride and Dutasteride on Risk of Prostate Cancer in Patients with Benign Prostatic Hyperplasia: A Pooled Analysis of 15 Real-world Databases.The world journal of men's health · 2025Article
- Effect of Choline Alfoscerate on the Progression From Mild Cognitive Impairment to Dementia: Distributed Network Analysis of a Multicenter Korean Database Using a Common Data Model.Dementia and neurocognitive disorders · 2024Article
- Implementation of the Observational Medical Outcomes Partnership Model in Electronic Medical Record Systems: Evaluation Study Using Factor Analysis and Decision-Making Trial and Evaluation Laboratory-Best-Worst Methods.JMIR medical informatics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesA distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size. However, differences in data structure constitute a major barrier to integrating data among DRN partners. We describe our experience converting Electronic Health Records (EHR) to the Observational Health Data Sciences and Informatics (OHDSI) Common Data Model (CDM).
methodsWe transformed the EHR of a hospital into Observational Medical Outcomes Partnership (OMOP) CDM ver. 4.0 used in OHDSI. All EHR codes were mapped and converted into the standard vocabulary of the CDM. All data required by the CDM were extracted, transformed, and loaded (ETL) into the CDM structure. To validate and improve the quality of the transformed dataset, the open-source data characterization program ACHILLES was run on the converted data.
resultsPatient, drug, condition, procedure, and visit data from 2.07 million patients who visited the subject hospital from July 1994 to November 2014 were transformed into the CDM. The transformed dataset was named the AUSOM. ACHILLES revealed 36 errors and 13 warnings in the AUSOM. We reviewed and corrected 28 errors. The summarized results of the AUSOM processed with ACHILLES are available at http://ami.ajou.ac.kr:8080/.
conclusionsWe successfully converted our EHRs to a CDM and were able to participate as a data partner in an international DRN. Converting local records in this manner will provide various opportunities for researchers and data holders.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.