Impact of response bias in three surveys on primary care providers' experiences with electronic health records.

Nathaniel HendrixNatalya MaiselJordan EversonVaishali PatelAndrew BazemoreLisa S RotensteinA Jay HolmgrenAlex H KristJulia Adler-MilsteinRobert L Phillips

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

Federal EHR policy monitoring and maintenance require reliable data. This test of existing and alternative sources suggest that diversified data sources are necessary to understand physicians' experiences with EHRs and interoperability. Comprehensive surveys administered by specialty boards have the potential to contribute to these efforts, since they are likely to be free of response bias.

Keyphrases

risk assessment
electronic health record
primary care
human health
clinical decision support
mental health
adverse drug
drinking water
cross sectional
public health
healthcare
quality improvement
machine learning
climate change
big data
artificial intelligence
data analysis