Dataset Information

Generalizable EHR-R-REDCap pipeline for a national multi-institutional rare tumor patient registry.

ABSTRACT:

Objective

To develop a clinical informatics pipeline designed to capture large-scale structured Electronic Health Record (EHR) data for a national patient registry.

Materials and methods

The EHR-R-REDCap pipeline is implemented using R statistical software to remap and import structured EHR data into the Research Electronic Data Capture (REDCap)-based multi-institutional Merkel Cell Carcinoma (MCC) Patient Registry using an adaptable data dictionary.

Results

Clinical laboratory data were extracted from EPIC Clarity across several participating institutions. Laboratory values (Labs) were transformed, remapped, and imported into the MCC registry using the EHR labs abstraction (eLAB) pipeline. Forty-nine clinical tests encompassing 482 450 results were imported into the registry for 1109 enrolled MCC patients. Data-quality assessment revealed highly accurate, valid labs. Univariate modeling was performed for labs at baseline on overall survival (N = 176) using this clinical informatics pipeline.

Conclusion

We demonstrate feasibility of the facile eLAB workflow. EHR data are successfully transformed and bulk-loaded/imported into a REDCap-based national registry to execute real-world data analysis and interoperability.

SUBMITTER: Shalhout SZ

PROVIDER: S-EPMC8827011 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Generalizable EHR-R-REDCap pipeline for a national multi-institutional rare tumor patient registry.

Shalhout Sophia Z SZ Saqlain Farees F Wright Kayla K Akinyemi Oladayo O Miller David M DM

JAMIA open 20220107 1

<h4>Objective</h4>To develop a clinical informatics pipeline designed to capture large-scale structured Electronic Health Record (EHR) data for a national patient registry.<h4>Materials and methods</h4>The EHR-R-REDCap pipeline is implemented using R statistical software to remap and import structured EHR data into the Research Electronic Data Capture (REDCap)-based multi-institutional Merkel Cell Carcinoma (MCC) Patient Registry using an adaptable data dictionary.<h4>Results</h4>Clinical labora ...[more]

PMID: 35156001

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Dataset Information

Generalizable EHR-R-REDCap pipeline for a national multi-institutional rare tumor patient registry.

Objective

Materials and methods

Results

Conclusion

Publications

Generalizable EHR-R-REDCap pipeline for a national multi-institutional rare tumor patient registry.

Similar Datasets

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