A 2-year-old girl presented to the emergency department (ED) with joint swelling and rash following an upper respiratory infection. After receiving treatment and being discharged with a diagnosis of allergic urticaria, she returned the following day with worsening symptoms. Suspecting an allergic reaction to amoxicillin, the ED team prepared to administer methylprednisolone. However, the ED intake technician erroneously switched the patient’s height and weight in the electronic health record (EHR), resulting in an excessive dose being ordered and dispensed.

To address a well-documented hospital adverse outcome (in-hospital patient clinical deterioration), Kaiser Permanente Northern California (KPNC) developed and implemented the Advance Alert Monitor (AAM) program. Using predictive analytics, the team developed a model to alert clinicians up to 12 hours prior to a patient’s likely deterioration. This early detection allowed clinicians to devise and implement a care plan to prevent deterioration of the patient’s condition and/or align the care plan with the goals of the patient.

Seeking a sustainable process to enhance their hospitals’ response to sepsis, a multidisciplinary team at WellSpan Health oversaw the development and implementation of a system that uses customized electronic health record (EHR) alert settings and a team of remote nurses to help frontline staff identify and respond to patients showing signs of sepsis. When the remote nurses, or Central Alerts Team (CAT), receive an alert, they assess the patient’s information and collaborate with the clinical care team to recommend a response.

This piece discusses surveillance monitoring of patients in low-acuity units of the hospital to prevent failure to rescue events, its difference from high-acuity continuous monitoring, and its potential applications in other settings.

In the past several decades, technological advances have opened new possibilities for improving patient safety. Using technology to digitize healthcare processes has the potential to increase standardization and efficiency of clinical workflows and to reduce errors and cost across all healthcare settings.¹ However, if technological approaches are designed or implemented poorly, the burden on clinicians can increase. For example, overburdened clinicians can experience alert fatigue and fail to respond to notifications. This can lead to more medical errors.

A 38-year-old man with end-stage renal disease (ESRD) on chronic hemodialysis was admitted for nonhealing, infected lower leg wounds and underwent a below-knee amputation. He suffered from postoperative pain at the operative stump and was treated for four days with regional nerve blocks, as well as gabapentin, intermittent intravenous hydromorphone (which was transitioned to oral oxycodone) and oral hydromorphone.

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.