Objective: To elucidate the application of HF approaches within urology to improve clinical work-system function via a systematic scoping review. Human Factors (HF) plays an integral role to improving safety, efficiency, and well-being by optimizing work-system interactions. Despite its established application across various high-risk industries, the systematic exploration of HF methods applied within urology remains limited.
View Article and Find Full Text PDFIt is unknown whether the July Effect (a theory that medical errors and organizational inefficiencies increase during the influx of new surgical residents) exists in urologic robotic-assisted surgery. The aim of this study was to investigate the impact of urology resident training on robotic operative times at the beginning of the academic year. A retrospective chart review was conducted for urologic robotic surgeries performed at a single institution between 2008 and 2019.
View Article and Find Full Text PDFBackground: Despite substantial efforts to reduce operating room (OR) turnover time (TOT), delays remain a frustration to physicians, staff, and hospital leadership. These efforts have employed many systems and human factor-based approaches with variable results. A deeper dive into methodologies and their applicability could lead to successful and sustained change.
View Article and Find Full Text PDFBackground: The utilization of robot-assisted approaches to surgery has increased significantly over the last two decades. This has introduced novel complexities into the operating room environment, requiring management of new challenges and workflow adaptation. This study aimed to analyze challenges in the surgical setup for complex upper gastrointestinal robot-assisted surgery (UGI-RAS) and identify opportunities for solutions.
View Article and Find Full Text PDFBackground: Incident reporting is widely used in hospitals to improve patient safety, but current reporting systems do not function optimally. The utility of incident reports is limited because hospital staff may not know what to report, may fear retaliation, and may doubt whether administrators will review reports and respond effectively.
Methods: This is a clustered randomized controlled trial of the Safety Action Feedback and Engagement (SAFE) Loop, an intervention designed to transform hospital incident reporting systems into effective tools for improving patient safety.
Background: Current approaches to assessing workload in robotic-assisted surgery (RAS) focus on surgeons and lack real-world data. Understanding how workload varies by role and specialty aids in identifying effective ways to optimize workload.
Methods: SURG-TLX surveys with six domains of workload were administered to surgical staff at three sites.
Background: Intraoperative death (ID) is rare, the incidence remains challenging to quantify and learning opportunities are limited. We aimed to better define the demographics of ID by reviewing the longest single-site series.
Methods: Retrospective chart reviews, including a review of contemporaneous incident reports, were performed on all ID between March 2010 to August 2022 at an academic medical center.
Background: Incident reports submitted during times of organizational stress may reveal unique insights.
Purpose: To understand the insights conveyed in hospital incident reports about how work system factors affected medication safety during a coronavirus disease-2019 (COVID-19) surge.
Methods: We randomly selected 100 medication safety incident reports from an academic medical center (December 2020 to January 2021), identified near misses and errors, and classified contributing work system factors using the Human Factors Analysis and Classification System-Healthcare.
Purpose: Bariatric surgery is an effective and durable treatment for weight loss for patients with extreme obesity. Although traditionally approached laparoscopically, robotic bariatric surgery (RBS) has unique benefits for both surgeons and patients. Nonetheless, the technological complexity of robotic surgery presents new challenges for OR teams and the wider clinical system.
View Article and Find Full Text PDFIntroduction: There is ongoing interest in the development of technical and nontechnical skills in healthcare to improve safety and efficiency; however, barriers to developing and delivering related training programs make them difficult to implement. Unique approaches to training such as "serious games" may offer ways to motivate teams, reinforce skill acquisition, and promote teamwork. Given increased challenges to teamwork in robotic-assisted surgery (RAS), researchers aimed to develop the "RAS Olympics," a game-based educational competition to improve skills needed to successfully perform RAS.
View Article and Find Full Text PDFBackground: Challenges associated with turnover time are magnified in robotic surgery. The introduction of advanced technology increases the complexity of an already intricate perioperative environment. We applied a human factors approach to develop systematic, data-driven interventions to reduce robotic surgery turnover time.
View Article and Find Full Text PDFStudy Objective: This study aimed to apply a structured human factors analysis to understand conditions contributing to vaginal retained foreign objects (RFOs).
Design: All potential vaginal RFO events from January 1, 2000, to May 21, 2019, were analyzed by trained human factors researchers. Each narrative was reviewed to identify contributing factors, classified using the Human Factors Analysis and Classification System for Healthcare.
This systematic review provides information on the methodologies, measurements and classification systems used in observational studies of flow disruptions in clinical environments. The PRISMA methodology was applied and authors searched two databases (PubMed and Web of Science) for studies meeting the following inclusion criteria: (a) were conducted in a healthcare setting, (b) explored systems-factors leading to deviations in care processes, (c) were prospective and observational, (d) classified observations, and (e) were original research studies published in peer-reviewed journals. Thirty studies were analyzed and a variety of methods were identified for observer training, data collection and observation classification.
View Article and Find Full Text PDFIntroduction: As a result of COVID-19, several clinics have adopted telemedicine to safely deliver care. However, the introduction of a new technology into an already complex system creates new challenges that have the potential to negatively impact patient and provider experience. We aimed to use a human factors approach (the science concerned with understanding the interactions between humans and other elements in a complex system) to identify where systemic vulnerabilities may exist throughout the patient/provider experience with telemedicine.
View Article and Find Full Text PDFThis cohort study surveys surgeons, anesthesiologists, residents, nurses, and technicians at a single institution regarding their experiences of intraoperative death, particularly emotional outcomes.
View Article and Find Full Text PDFThis article reviews several key aspects of the Theory of Active and Latent Failures, typically referred to as the Swiss cheese model of human error and accident causation. Although the Swiss cheese model has become well known in most safety circles, there are several aspects of its underlying theory that are often misunderstood. Some authors have dismissed the Swiss cheese model as an oversimplification of how accidents occur, whereas others have attempted to modify the model to make it better equipped to deal with the complexity of human error in health care.
View Article and Find Full Text PDFThe RN circulator role includes maintaining situational awareness and mitigating risks to patient safety in the OR. Flow disruptions-deviations that threaten the safe and efficient flow of surgery-may contribute to the occurrence of errors and negatively affect safety for patients and health care providers. We used an existing data set to explore the effects of flow disruptions on the RN circulator.
View Article and Find Full Text PDFBackground: The integration of high technology into health care systems is intended to provide new treatment options and improve the quality, safety, and efficiency of care. Robotic-assisted surgery is an example of high technology integration in health care, which has become ubiquitous in many surgical disciplines.
Objective: This study aims to understand and measure current robotic-assisted surgery processes in a systematic, quantitative, and replicable manner to identify latent systemic threats and opportunities for improvement based on our observations and to implement and evaluate interventions.
This article explores the role of human factors engineering in patient safety in surgery. The authors discuss the history and evolution of human factors and the role of human factors in patient safety and provide a description of human factors methods used to study and improve patient safety.
View Article and Find Full Text PDFObjectives: To use a human factors approach to conduct a needs assessment of patient preparedness, education, device usability, and satisfaction regarding all stages of sacral neuromodulation therapy and identify opportunities for improvement. Sacral neuromodulation, though minimally invasive, involves an initial testing phase that requires active patient participation. This process is relatively complex and, if a patient does not receive adequate preprocedure education, can be difficult to conceptualize.
View Article and Find Full Text PDFTurnover time (TOT) has remained the subject of numerous research articles and operating room (OR) committee discussions. Inefficiencies associated with TOT are multiplied when complex technology, such as surgical robots, is involved. Using a human factors approach, this study investigated impediments to efficient robotic TOT and team members' perceptions surrounding this topic.
View Article and Find Full Text PDFThis prospective investigation describes the process of designing a targeted, data-driven team training aimed at reducing identified process inefficiencies or flow disruptions (FDs) that threaten the optimal delivery of trauma care. Trained researchers observed and classified FDs during 34 trauma cases in a Level II trauma center. Multidisciplinary trauma personnel generated interventions to identified issues using the human factors intervention matrix (HFIX).
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