![[object Object]](/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Flogo.910d0446.png&w=384&q=75)
NANO OMOP
Automate with NANO Health OMOP Conversion Solution
Automate with NANO Health OMOP
Conversion Solution
Observational data in EHRs and claims databases can contribute to research for more useful health decisions and patient outcomes. Remaking observational data to the OMOP structure harmonizes data and encourages systematic and collaborative research.
Nano Health helps standardize health data to the OMOP standard data model (CDM) and install the technical infrastructure.
Nano Health provides an organized strategy and tool suite to assess and communicate large-scale patient-level investigations and forecast models utilizing observational data in a network.
NANO Health OMOP Converter Solution
The Nano Health Converter is a software tool that semi-automates structured data conversion to the OMOP structure. It is a modular solution that facilitates alliances to analyze 360° patient journeys and shift data into assurance.
The Nano Health Converter is a software tool that semi-automates structured data conversion to the OMOP structure. It is a modular solution that facilitates alliances to analyze 360° patient journeys and shift data into assurance.
The ecosystem delivers a wide range of mechanisms enfolding real-world data and proof facets − from data portrayal to a standardized data model (OMOP CDM). This enables large-scale cross-database analytics.
It carries users from importing their data asset to achieving field mappings and re-using mappings for data refreshes, from driving conversions to comparing results and exporting the OMOPed data.
All on the same interface, mandating slight technical proficiency, deployed on-premise or private cloud.
It presents an opportunity for you to meet OMOP conversions in-house and maximize value from data assets you own or purchase if your organization is OMOP-knowledgeable but lacks specialized expertise or funds to contract vendors.
From a fully outsourced strategy to ETL to hands-on training aimed at self-service transitions, our specialists can support mapping electronic health records registry and retail claims data.
Multiple Stakeholders
Multiple Geographies
Multiple Disciplines
Maintains OMOP
Reconciling observational data for the better patient and population-level forecasts
The Nano Health OMOP Converter fosters more evident, reusable, reliable, and cost-effective conversions compared to traditional conversion processes. Hence, it reduces the threshold for binding OMOP-driven research and the cost of holding high-quality OMOPed datasets. Efficient, large scale and reproducible observational research can be driven by building transparent and uniform content across diverse databases.
