EHR-package {EHR}

Electronic Health Record (EHR) Data Processing and Analysis Tool

Description

The 'EHR' package provides modules to perform diverse medication-related studies using data from EHR databases.

Details

Package functionality:

• Process and analyze Electronic Health Record (EHR) data.

• Implement modules to perform diverse medication-related studies using data from EHR databases. Especially, the package includes modules to perform pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in Choi et al. (2020).

• Implement three statistical methods for Phenome Wide Association Study (PheWAS). Contingency tables for many binary outcomes (e.g., phenotypes) and a binary covariate (e.g., drug exposure) can be efficiently generated by zeroOneTable, and three commonly used statistical methods to analyze data for PheWAS are implement by analysisPheWAS.

Author(s)

Maintainer: Leena Choi [e-mail] (ORCID)

Authors:

• Cole Beck [e-mail] (ORCID)

• Hannah Weeks [e-mail] (ORCID)

• Elizabeth McNeer [e-mail]

• Nathan James [e-mail] (ORCID)

• Michael Williams [e-mail]

References

1. Development of a system for postmarketing population pharmacokinetic and pharmacodynamic studies using real-world data from electronic health records.
   Choi L, Beck C, McNeer E, Weeks HL, Williams ML, James NT, Niu X, Abou-Khalil BW, Birdwell KA, Roden DM, Stein CM, Bejan CA, Denny JC, Van Driest SL.
   Clin Pharmacol Ther. 2020 Apr;107(4):934-943. doi: 10.1002/cpt.1787.

2. Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects.
   Choi L, Carroll RJ, Beck C, Mosley JD, Roden DM, Denny JC, Van Driest SL.
   Bioinformatics. 2018 Sep 1;34(17):2988-2996. doi: 10.1093/bioinformatics/bty306.

See Also

Useful links:

• https://choileena.github.io/