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- Marie-Laure Charpignon, Joseph Byers, Stephanie Cabral, Leo Anthony Celi, Chrystinne Fernandes, Jack Gallifant, Mary E Lough, Donald Mlombwa, Lama Moukheiber, Bradley Ashley Ong, Anupol Panitchote, Wasswa William, WongAn-Kwok IanAIDuke University Medical Center, 2424 Erwin Road, Suite 1102, Hock Plaza Box 2721, Durham, NC 27710, USA., and Lama Nazer.
- Institute for Data, Systems, and Society (IDSS), E18-407A, 50 Ames Street, Cambridge, MA 02142, USA. Electronic address: mcharpig@mit.edu.
- Crit Care Clin. 2023 Oct 1; 39 (4): 795813795-813.
AbstractCritical care data contain information about the most physiologically fragile patients in the hospital, who require a significant level of monitoring. However, medical devices used for patient monitoring suffer from measurement biases that have been largely underreported. This article explores sources of bias in commonly used clinical devices, including pulse oximeters, thermometers, and sphygmomanometers. Further, it provides a framework for mitigating these biases and key principles to achieve more equitable health care delivery.Copyright © 2023 Elsevier Inc. All rights reserved.
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