Expand real-world data access via OHDSI/OMOP
Unlock the full potential of your health data with AINIGMA! Our expert team specializes in harmonizing and mapping diverse health data from multiple sources and formats to the powerful OMOP Common Data Model (CDM). With our cutting-edge solutions, you can seamlessly integrate and standardize your data, paving the way for improved patient outcomes and groundbreaking research.
Our team specializes in data harmonization of medical data and mapping it to the OMOP Common Data Model, enabling standardized analysis and characterization of healthcare data. With our extensive experience in this domain, we have successfully worked with a wide range of medical datasets from diverse sources, including electronic medical records (EMR) and claims data. Our expertise extends to handling data from various regions, such as Belgium, Netherlands and Greece and we have undertaken the task of data mapping in multiple Horizon Projects, ensuring we understand the intricacies and nuances of different healthcare systems.
One of our key strengths lies in the comprehensive mapping of medical codes to OMOP Standard Concepts. We meticulously transform diverse code systems, including standard terminologies, proprietary codes, and local coding systems, into the standardized OMOP vocabulary. Our meticulous approach ensures accurate and consistent representation of medical concepts, enabling seamless integration and interoperability across different data sources.
To facilitate this process, we leverage a reproducible methodology that ensures the highest quality of data and accompanying documentation. By following rigorous guidelines and utilizing industry-leading tools, such as White Rabbit, Rabbit in a Hat, and Usagi, we streamline the data transformation process while maintaining data integrity and fidelity.
Alongside the data harmonization and mapping, we provide a comprehensive executive summary that encapsulates our decision-making processes. This includes detailed descriptions of the business rules and data interpretation methods employed, accompanied by counts and statistics that provide valuable insights into the transformed data.
Once the data is mapped to the OMOP Common Data Model, we seamlessly integrate it into your existing analytics toolset. Whether you utilize OHDSI tools or commercial applications, our team ensures smooth incorporation of the standardized data. We conduct thorough quality checks to validate the integrity and consistency of the transformed data, guaranteeing its reliability for subsequent analyses. Additionally, we offer pre-defined cohorts, market segmentation, and grouping information, further enhancing the analytical capabilities of your chosen platform.
What is OMOP
OMOP, the Observational Medical Outcomes Partnership Common Data Model, revolutionizes the analysis of diverse observational databases. This innovative framework simplifies the process by transforming data from disparate sources into a standardized format and representation. By harmonizing data structures, terminologies, vocabularies, and coding schemes, the OMOP Common Data Model enables systematic analyses using a library of pre-defined analytic routines specifically designed for this standardized format.
With OMOP, the complex task of analyzing heterogeneous observational databases becomes streamlined and efficient. By unifying data into a common format, the model facilitates seamless integration, comparison, and exploration across various sources. This harmonization process ensures consistency and compatibility, making it easier to draw meaningful insights from the data.
To perform systematic analyses, the OMOP Common Data Model leverages a library of standard analytic routines specifically tailored to this standardized format. These routines have been developed based on extensive research and industry best practices, empowering researchers and data analysts to extract valuable information with ease and confidence.
In summary, the OMOP Common Data Model provides a powerful framework for unlocking the potential of observational databases. By standardizing data structures and representations, it simplifies the analysis process and enables systematic investigations using a comprehensive library of analytic routines. Embrace OMOP to revolutionize your data analysis and gain valuable insights for informed decision-making in the realm of healthcare and beyond.