This clinical database allows researchers and quality improvement specialists to easily access high-fidelity data files for individual patients or patient cohorts. It automatically merges data from different sources—such as lab results and monitors—into a single, complete and easy-to-use file.
The Quality Improvement Sandbox provides permanent storage of patient information and supports retrospective analysis. It allows researchers to investigate a level of detail that was never before achievable. For example, researchers can use the data to calculate adherence to best practice clinical care protocols.
Streamlined Data Collection and Analysis
The Quality Improvement Sandbox enables streamlined and cost-effective data analysis. Data from multiple sources is stored in a common file format so it can be easily shared to facilitate multicenter research, and clinicians and researchers without data analysis expertise can conduct a retrospective, offline analysis of a patient’s historical events. The data can also be leveraged by quality improvement specialists seeking to evaluate the quality of care and the consistency of following hospital-specific care protocols. Researchers and quality improvement specialists can easily access high-fidelity, high-frequency data without the costs and delays of custom integration work by a third-party vendor and export the data for further analysis by third-party software packages such as:
- MATLAB by Mathworks
- R from the R Project for Statistical Computing
The Quality Improvement Sandbox allows clinical researchers and quality improvement specialists to easily and cost-effectively accumulate incredibly rich data sets, which can serve as a launching platform into Big Data Analytics that can attract additional research funds.
Need More Information?
Learn more about the Etiometry Platform and our:
You can learn more about IDO2 by reviewing papers available through our Publications page, and learn more about Etiometry by reviewing our brief Fact Sheet. If you’d like to discuss how your hospital could benefit from our solution, please contact us.