Human factors engineering or ergonomics (HFE) is a scientific discipline broadly focused on interactions among humans and other elements of a system.

While electronic health records, computerized provider order entry, and clinical decision support have increased patient safety, they can also create new challenges such as alert fatigue. One medical center developed and implemented a program to identify and reduce the number of alerts clinicians encounter every day. 

A 61-year-old women with a mechanical aortic valve on chronic warfarin therapy was referred to the emergency department (ED) for urgent computed tomography (CT) imaging of the right leg to rule out an arterial clot. CT imaging revealed two arterial thromboses the right lower extremity and an echocardiogram revealed a thrombus near the prosthetic heart valve. The attending physician ordered discontinuation of warfarin and initiation of a heparin drip.

A 58-year-old man underwent a complex surgery to replace his aortic valve. The surgery required prolonged cardiopulmonary bypass time and cross-clamp time and there was a short delay in redosing the cardioplegic solution and the patient developed “stone heart” due to suspected ischemic injury and was unable to come off bypass. The patient was placed on extracorporeal membrane oxygenation (ECMO) and transported to the ICU to allow family members to see the patient before stopping life support.

Appropriate follow-up of incidental abnormal radiological findings is an ongoing patient safety challenge. Inadequate follow-up can contribute to missed or delayed diagnosis, potentially resulting in poorer patient outcomes. This study describes implementation of an electronic health record-based referral system for patients with incidental radiologic finding in the emergency room. 

Patient falls are a never event and a frequent focus of patient safety and quality improvement projects. This pediatric ICU implemented a colored alert system based on fall risk assessments for all admitted patients.

Rapid response teams are intended to improve timely identification and management of clinically deteriorating patients, such as in-hospital cardiac arrest or stroke. 

Community pharmacists encounter a wide range of challenges to medication safety. This study used a novel prospective method of predicting errors and developing remedial solutions.