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This WebM&M describes two cases illustrating several types of Electronic Health Record (EHR) errors, with a common thread of erroneous use of electronic text-generation functionality, such as copy/paste, copy forward, and automatically pulling information from other electronic sources to populate clinical notes. The commentary discusses other EHR-based documentation tools (such as dot phrases), the influence of new documentation guidelines, and the role of artificial intelligence (AI) tools to capture documentation.
A 32-year-old man presented to the hospital with a comminuted midshaft femoral fracture after a bicycle accident. Imaging suggested the fracture was pathologic and an open biopsy specimen was submitted to pathology for intraoperative consultation.
Concern over patient safety issues associated with inadequate tracking of test results has grown over the last decade, as it can lead to delays in the recognition of abnormal test results and the absence of a tracking system to ensure short-term patient follow-up.1,2 Missed abnormal tests and the lack of necessary clinical follow-up can lead to a late diagnosis.
A 63-year-old man presented from a skilled nursing facility (SNF) with shortness of breath and was treated for mild heart failure exacerbation. An echocardiogram was performed but results were pending on discharge, with anticipation that the patient’s primary care provider would follow up the results. Two weeks later, the patient was readmitted from the SNF and was found to have endocarditis and infected pacemaker wires.
Throughout 2022, AHRQ PSNet has shared research that elucidates the complex nature of misdiagnosis and diagnostic safety. This Year in Review explores recent work in diagnostic safety and ways that greater safety may be promoted using tools developed to improve diagnostic practices.
Throughout 2022, AHRQ PSNet has shared research that elucidates the complex nature of misdiagnosis and diagnostic safety. This Year in Review explores recent work in diagnostic safety and ways that greater safety may be promoted using tools developed to improve diagnostic practices.
Gillispie-Bell V. USA Today. April 14, 2023.
This case describes a 13-year-old girl who presented to several health care providers with typical symptoms, physical signs, and early laboratory findings suggestive of adrenal insufficiency (AI) yet the diagnosis was delayed for several months due to diagnostic biases. After she suffered a sudden cardiac arrest during a visit to her local emergency department and was airlifted to a tertiary care facility, she was found to be in adrenal crisis secondary to Addison’s disease.
Oregon Patient Safety Commission: 2023.