Healthcare utilization is a collider: an introduction to collider bias in EHR data reuse

NG Weiskopf, DA Dorr, C Jackson… - Journal of the …, 2023 - academic.oup.com
Objectives Collider bias is a common threat to internal validity in clinical research but is
rarely mentioned in informatics education or literature. Conditioning on a collider, which is a …

How and when informative visit processes can bias inference when using electronic health records data for clinical research

BA Goldstein, M Phelan, NJ Pagidipati… - Journal of the …, 2019 - academic.oup.com
Objective Electronic health records (EHR) data have become a central data source for
clinical research. One concern for using EHR data is that the process through which …

Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials …

AD Boyd, R Gonzalez-Guarda… - Journal of the …, 2023 - academic.oup.com
Embedded pragmatic clinical trials (ePCTs) play a vital role in addressing current population
health problems, and their use of electronic health record (EHR) systems promises …

[HTML][HTML] Illustrating informed presence bias in electronic health records data: how patient interactions with a health system can impact inference

M Phelan, NA Bhavsar, BA Goldstein - EGEMs, 2017 - ncbi.nlm.nih.gov
Electronic health record (EHR) data are becoming a primary resource for clinical research.
Compared to traditional research data, such as those from clinical trials and epidemiologic …

Biases in Electronic Health Records Data for Generating Real-World Evidence: An Overview

B Al-Sahab, A Leviton, T Loddenkemper… - Journal of Healthcare …, 2024 - Springer
Abstract Electronic Health Records (EHR) are increasingly being perceived as a unique
source of data for clinical research as they provide unprecedentedly large volumes of real …

[HTML][HTML] An empirical study for impacts of measurement errors on EHR based association studies

R Duan, M Cao, Y Wu, J Huang… - AMIA Annual …, 2017 - pmc.ncbi.nlm.nih.gov
Over the last decade, Electronic Health Records (EHR) systems have been increasingly
implemented at US hospitals. Despite their great potential, the complex and uneven nature …

Informative presence bias in analyses of electronic health records-derived data: a cautionary note

J Harton, N Mitra, RA Hubbard - Journal of the American Medical …, 2022 - academic.oup.com
Objective Electronic health record (EHR)-derived data are extensively used in health
research. However, the pattern of patient interaction with the healthcare system can result in …

A framework for understanding selection bias in real-world healthcare data

R Kundu, X Shi, J Morrison, J Barrett… - Journal of the Royal …, 2024 - academic.oup.com
Using administrative patient-care data such as Electronic Health Records (EHR) and
medical/pharmaceutical claims for population-based scientific research has become …

External validation of an algorithm to identify patients with high data-completeness in electronic health records for comparative effectiveness research

KJ Lin, GE Rosenthal, SN Murphy, KD Mandl… - Clinical …, 2020 - Taylor & Francis
Objective Electronic health records (EHR) data-discontinuity, ie receiving care outside of a
particular EHR system, may cause misclassification of study variables. We aimed to validate …

[HTML][HTML] Data quality in electronic health record research: an approach for validation and quantitative bias analysis for imperfectly ascertained health outcomes via …

ND Goldstein, D Kahal, K Testa… - Harvard data science …, 2022 - ncbi.nlm.nih.gov
It is incumbent upon all researchers who use the electronic health record (EHR), including
data scientists, to understand the quality of such data. EHR data may be subject to …