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A survey of informatics platforms that enable distributed comparative effectiveness research using
Dean F Sittig1, Brian L Hazlehurst, Jeffrey Brown
1School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA. dean.f.sittig@uth.tmc.edu
Medical Care
|June 14, 2012
Summary
Comparative effectiveness research (CER) requires integrated data from multiple institutions. New informatics platforms are crucial for accessing and analyzing this clinical data to answer key health questions.
Area of Science:
- Health Informatics
- Clinical Research
- Data Science
Background:
- Comparative effectiveness research (CER) aims to identify optimal treatments and care delivery methods.
- Successful CER necessitates integrating diverse data from multiple institutions.
- Existing informatics platforms are evolving to support interinstitutional CER.
Purpose of the Study:
- To explain the necessity of informatics platforms for CER.
- To compare and contrast six large-scale, CER-focused informatics platform development efforts.
Main Methods:
- Utilized an 8-dimension, sociotechnical model of health information technology.
- Identified six essential steps for distributed, multi-institutional CER projects: data identification, extraction, modeling, aggregation, analysis, and dissemination.
Main Results:
- Six major informatics platform development efforts focused on CER were analyzed.
- A framework of six generic steps for CER data management was established.
Conclusions:
- These informatics platforms are vital for advancing CER.
- Future research utilizing these platforms is expected to answer critical clinical questions previously unaddressed.
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