Clinical Research Informatics and Electronic Health Record Data

Overview

Journal Yearb Med Inform

Publisher Thieme

Specialty Medical Informatics

Date 2014 Aug 16

PMID 25123746

Citations 32

Authors

R L Richesson

M M Horvath

S A Rusincovitch

Affiliations

Soon will be listed here.

Abstract

Objectives: The goal of this survey is to discuss the impact of the growing availability of electronic health record (EHR) data on the evolving field of Clinical Research Informatics (CRI), which is the union of biomedical research and informatics.

Results: Major challenges for the use of EHR-derived data for research include the lack of standard methods for ensuring that data quality, completeness, and provenance are sufficient to assess the appropriateness of its use for research. Areas that need continued emphasis include methods for integrating data from heterogeneous sources, guidelines (including explicit phenotype definitions) for using these data in both pragmatic clinical trials and observational investigations, strong data governance to better understand and control quality of enterprise data, and promotion of national standards for representing and using clinical data.

Conclusions: The use of EHR data has become a priority in CRI. Awareness of underlying clinical data collection processes will be essential in order to leverage these data for clinical research and patient care, and will require multi-disciplinary teams representing clinical research, informatics, and healthcare operations. Considerations for the use of EHR data provide a starting point for practical applications and a CRI research agenda, which will be facilitated by CRI's key role in the infrastructure of a learning healthcare system.

Citing Articles

Integrating clinical research into electronic health record workflows to support a learning health system.

Goldhaber N, Jacobs M, Laurent L, Knight R, Zhu W, Pham D JAMIA Open. 2024; 7(2):ooae023.

PMID: 38751411 PMC: 11095974. DOI: 10.1093/jamiaopen/ooae023.

Systematically assessing the quality of dental electronic health record data for an investigation into oral health care disparities.

Kookal K, Walji M, Brandon R, Kivanc F, Mertz E, Kottek A J Public Health Dent. 2024; 84(3):242-250.

PMID: 38659337 PMC: 11499288. DOI: 10.1111/jphd.12618.

The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era.

Wen A, He H, Fu S, Liu S, Miller K, Wang L NPJ Digit Med. 2023; 6(1):132.

PMID: 37479735 PMC: 10362064. DOI: 10.1038/s41746-023-00878-9.

Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer Center.

Petch J, Kempainnen J, Pettengell C, Aviv S, Butler B, Pond G JCO Clin Cancer Inform. 2023; 7:e2200182.

PMID: 37001040 PMC: 10281330. DOI: 10.1200/CCI.22.00182.

The ethical and legal landscape of brain data governance.

Ochang P, Stahl B, Eke D PLoS One. 2022; 17(12):e0273473.

PMID: 36580464 PMC: 9799320. DOI: 10.1371/journal.pone.0273473.

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