[HTML][HTML] Common problems, common data model solutions: evidence generation for health technology assessment
There is growing interest in using observational data to assess the safety, effectiveness, and
cost effectiveness of medical technologies, but operational, technical, and methodological …
cost effectiveness of medical technologies, but operational, technical, and methodological …
[HTML][HTML] An ETL-process design for data harmonization to participate in international research with German real-world data based on FHIR and OMOP CDM
Background International studies are increasingly needed in order to gain more unbiased
evidence from real-world data. To achieve this goal across the European Union, the EMA set …
evidence from real-world data. To achieve this goal across the European Union, the EMA set …
Exploring the potential of OMOP common data model for process mining in healthcare
Background and objective Recently, Electronic Health Records (EHR) are increasingly
being converted to Common Data Models (CDMs), a database schema designed to provide …
being converted to Common Data Models (CDMs), a database schema designed to provide …
Transforming Estonian health data to the Observational Medical Outcomes Partnership (OMOP) common data model: Lessons learned
Objective To describe the reusable transformation process of electronic health records
(EHR), claims, and prescriptions data into Observational Medical Outcome Partnership …
(EHR), claims, and prescriptions data into Observational Medical Outcome Partnership …
Transformation of electronic health records and questionnaire data to OMOP CDM: a feasibility study using SG_T2DM dataset
SMK Sathappan, YS Jeon, TK Dang… - Applied Clinical …, 2021 - thieme-connect.com
Background Diabetes mellitus (DM) is an important public health concern in Singapore and
places a massive burden on health care spending. Tackling chronic diseases such as DM …
places a massive burden on health care spending. Tackling chronic diseases such as DM …
Extract, transform, load framework for the conversion of health databases to OMOP
Common data models standardize the structures and semantics of health datasets, enabling
reproducibility and large-scale studies that leverage the data from multiple locations and …
reproducibility and large-scale studies that leverage the data from multiple locations and …
[HTML][HTML] EHR-QC: A streamlined pipeline for automated electronic health records standardisation and preprocessing to predict clinical outcomes
The adoption of electronic health records (EHRs) has created opportunities to analyse
historical data for predicting clinical outcomes and improving patient care. However, non …
historical data for predicting clinical outcomes and improving patient care. However, non …
[HTML][HTML] Transforming anesthesia data into the observational medical outcomes partnership common data model: development and usability study
A Lamer, O Abou-Arab, A Bourgeois, A Parrot… - Journal of Medical …, 2021 - jmir.org
Background Electronic health records (EHRs, such as those created by an anesthesia
management system) generate a large amount of data that can notably be reused for clinical …
management system) generate a large amount of data that can notably be reused for clinical …
The multi-criteria evaluation of research efforts based on ETL software: from business intelligence approach to big data and semantic approaches
C Boulahia, H Behja, MR Chbihi Louhdi… - Evolutionary …, 2024 - Springer
Many industries and academia have devoted a lot of effort and money to creating and/or
using good extract-transform-load (ETL) software suitable for their data analysis purposes …
using good extract-transform-load (ETL) software suitable for their data analysis purposes …
Can we rely on results from IQVIA medical research data UK converted to the observational medical outcome partnership common data model? A validation study …
G Candore, K Hedenmalm, J Slattery… - Clinical …, 2020 - Wiley Online Library
Exploring and combining results from more than one real‐world data (RWD) source might
be necessary in order to explore variability and demonstrate generalizability of the results or …
be necessary in order to explore variability and demonstrate generalizability of the results or …