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CER Hub: An informatics platform for conducting comparative effectiveness research using multi-institutional,
Brian L Hazlehurst1, Stephen E Kurtz1, Andrew Masica2
1Kaiser Permanente Northwest, Center for Health Research, Portland, OR, USA.
The CER Hub platform enables multi-institutional comparative effectiveness research by standardizing electronic health record data extraction and analysis across diverse healthcare systems. This facilitates scalable and coordinated clinical data research.
Area of Science:
- Health Informatics
- Comparative Effectiveness Research
- Clinical Data Management
Background:
- Comparative effectiveness research (CER) faces challenges in integrating data from diverse electronic health record (EHR) systems across multiple institutions.
- Standardized data capture and analysis are crucial for robust multi-institutional CER studies.
Purpose of the Study:
- To introduce the CER Hub, a web-based informatics platform designed for developing and conducting CER studies.
- To enable the combination of comprehensive electronic clinical data from multiple healthcare organizations.
Main Methods:
- The CER Hub utilizes a data processing pipeline with informatics standards for data representation.
- It provides web-based tools for creating study-specific data processing applications.
- The platform ensures standardized access to patient-centric EHR data across participating organizations.
Main Results:
- The CER Hub is currently supporting two CER studies involving data from six diverse health systems.
- These studies focus on medication effectiveness for asthma control and smoking cessation services in primary care.
Conclusions:
- The CER Hub offers four key capabilities: processing free-text and coded EHR data, a distributed data processing environment, a clinical data-interchange format, and a library of shareable applications.
- It addresses the complexities of multi-institutional research by providing integrated informatics tools for EHR data studies.
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