The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records.

Stud Health Technol Inform

Department of Artificial Intelligence and Informatics Research, Mayo Clinic, Rochester, Minnesota, USA.

Published: June 2022

Reproducibility is an important quality criterion for the secondary use of electronic health records (EHRs). However, multiple barriers to reproducibility are embedded in the heterogeneous EHR environment. These barriers include complex processes for collecting and organizing EHR data and dynamic multi-level interactions occurring during information use (e.g., inter-personal, inter-system, and cross-institutional). To ensure reproducible use of EHRs, we investigated four information quality dimensions and examine the implications for reproducibility based on a real-world EHR study. Four types of IQ measurements suggested that barriers to reproducibility occurred for all stages of secondary use of EHR data. We discussed our recommendations and emphasized the importance of promoting transparent, high-throughput, and accessible data infrastructures and implementation best practices (e.g., data quality assessment, reporting standard).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754076PMC
http://dx.doi.org/10.3233/SHTI220055DOI Listing

Publication Analysis

Top Keywords

secondary electronic
8
electronic health
8
health records
8
barriers reproducibility
8
ehr data
8
reproducibility
5
implication latent
4
quality
4
latent quality
4
quality reproducibility
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!