Surgical never events are rare but devastating for patients. Using machine learning, this study identified 24 contributing factors to two types of surgical never events - wrong site surgery and retained items. Communication, the number and type of staff present, and the type and length of surgery were identified contributing factors.

Patient identification mistakes can have serious consequences. Using the Systems Engineering for Patient Safety (SEIPS) framework, this qualitative study explored systems factors contributing to patient identification errors during intrahospital transfers. The authors found that patient identification was not completed according to hospital policy during any of the 60 observed patient transfer handoffs. Miscommunication and lack of key patient information were common factors contributing to identification errors.

Computed tomography (CT) scans are important diagnostic tools but can present serious dangers from overexposure to radiation. Researchers reviewed 133 radiation incidents reported to one NHS trust from 2015-2018. Reported events included radiation incidents, near-miss incidents, and repeat scans. Most events were investigated using a systems approach, and staff were encouraged to report all types of incidents, including near misses, to foster a culture of safety and enable learning.

Wrong-patient transfusion errors can lead to serious patient harm. This case report describes a blood transfusion error and summarizes the systems issues that emerged during the root case analysis, as well as the corrective steps implemented by the hospital to prevent future transfusion errors. A previous Spotlight Case featured a near-miss transfusion error and strategies for ensuring safe transfusion practices.

Wrong blood in tube (WBIT) errors are rare but can lead to complications. One hospital implemented a quality improvement project to reduce WBIT errors with electronic patient identification, manual independent dual verification, and staff education. WBIT errors were significantly reduced and sustained over six years.

Failure mode and effect analysis (FMEA) is used to asses risk in various heath care processes. This study found that an algorithmic prediction of failure modes in healthcare (APFMH) is more effective in identifying hazards and uses fewer resources (time and human resource investment) than traditional FMEA.

Incident reporting systems may be underutilized by medical trainees. This article describes a brief, interactive simulation activity to improve identification and reporting of patient safety hazards among medical students and interns.

Patient misidentification can lead to serious patient safety risks. Researchers used patient safety reports and root cause analyses (RCA) to characterize patient misidentification events in the Veterans Health Administration (VHA). The incidence of patient misidentification in inpatient and outpatient settings was similar and most commonly attributed to the absence of two unique patient identifiers. The authors identified three strategies to mitigate misidentification based on high-reliability principles: (1) develop policies for patient identification throughout the continuum of care, (2) develop policies to report and monitor patient misidentification measures, and (3) apply quality and process improvement tools to patient identification emphasizing use by front line staff.  

Transfusion errors due to patient misidentification can have serious consequences. This article describes the implementation of an automated, electronic barcode scanner system to improve pretransfusion verification and documentation. Over two years, the system improved documentation compliance and averted transfusion of mismatched blood products in 20 patients.  

Physicians from different health systems using two computerized provider order entry (CPOE) systems participated in simulated patient scenarios using eye movement recordings to determine whether the physician looked at patient-identifying information when placing orders. The rate of patient identification overall was 62%, but the rate varied by CPOE system. An expert panel identified three potential reasons for this variation – visual clutter and information density, the number of charts open at any given time, and the importance placed on patient identification verification by institutions.  

Using a Safety-II framework, the authors used a mixed-methods approach to retrospectively analyze root cause analysis (RCA) reports of ‘never events’ occurring in the United Kingdom to characterize proposed actions, insights and recommendations to prevent future events. The analysis found that proposed actions were generally of low-to-moderate effectiveness, and that despite identifying systems challenges and weaknesses, many reports did not include proposed actions to mitigate or remove risks. The authors conclude that applying concepts from resilient healthcare can identify vulnerabilities and opportunities for strengthening the RCA system and improving the quality of RCA reports.

Recent guidelines from the Institute for Safe Medication Practices have warned of the risk of blood-borne disease transmission associated with insulin pen sharing in hospitalized patients and provide recommendations for safe practices.  This paper describes the impact on insulin pen sharing after the implementation of safe practice recommendations (e.g., label redesign, patient-specific bar coding on pens) at a quaternary academic medical center. Institutional efforts resulted in a less frequent pen-sharing events and a decrease in latent errors found during medication drawer audits, such as retained pens after discharge and illegible or missing label. 

This case study describes the events of a patient who underwent an unintended invasive cardiac electrophysiology study. While reviewing the details of the case and the institution’s root cause analysis, the authors identify 17 distinct errors that culminated in the procedure taking place. The authors discuss the role of the individual versus the system, the existing culture contributing to the error, and strategies to avoid similar errors in the future. This article is part of a special collection entitled “Quality Grand Rounds,” a series of articles published in the Annals of Internal Medicine that explores a range of quality issues and medical errors.