Electronic health record data is unable to effectively characterize measurement error from pulse oximetry: a simulation study
Authors' conclusion
EHR data cannot be reliably used to quantify SpO2 error.
Study context
- Population
- ICU patients in the MIMIC-IV Waveform dataset
- Participants
- 198 patients
- Comparison
- Simulated electronic health records (EHR)-derived SpO2 error across increasing deviation times vs simulated pulse oximeters with baseline average root mean squared (ARMS) error of 2%
- Outcome
- SpO2 measurement error (mean error, SD of error, ARMS error, Bland-Altman limits of agreement) as a function of deviation time
Methodological detailsMIMIC-IV Waveform dataset
- MIMIC-IV Waveform dataset
Main finding
As reported in the abstract
SpO2 measurement error vs deviation time
ARMS error at 10 min deviation time (baseline 2%)
over 4%
Original publication
Electronic health record data is unable to effectively characterize measurement error from pulse oximetry: a simulation study. J Clin Monit Comput. Published 9 March 2024. doi:10.
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