Diagnostic error has been increasingly recognized as an important and evolving patient safety issue. This Primer applies well-established principles of diagnostic error and improvement of diagnostic accuracy to the topic of COVID-19.
A pregnant patient was admitted for scheduled Cesarean delivery, before being tested according to a universal inpatient screening protocol for SARS-CoV-2. During surgery, the patient developed a fever and required oxygen supplementation. Due to suspicion for COVID-19, a specimen obtained via nasopharyngeal swab was sent to a commercial laboratory for reverse transcriptase polymerase chain reaction (RT-PCR) testing.
Horowitz SH. Washington Post. October 4, 2020.
American College of Radiology. March 11, 2020.
David R. Gruen, MD, MBA, FACR is the Chief Medical Officer, Imaging at IBM Watson Health and is a thought leader and content expert for artificial intelligence in medical imaging. We spoke with him about the role artificial intelligence can play in healthcare diagnostics and the potential for reducing diagnostic errors.
This piece discusses the current use of artificial intelligence in diagnostic imaging and key patient safety considerations.