Patient safety, human error

Background: Millions of injuries and deaths occur yearly from preventable errors, despite interventions applied at the point of care. Although evidence suggests that system-level factors are responsible for hospital system health and patient safety, research has largely not accounted for hospital complexity. Prior to the authors' research regarding the communication of system-level events that influence hospital system health and patient safety, no nursing-specific communication theories that accounted for hospital complexity were identified...

IMPORTANCE: With older drivers representing the fastest growing segment of the driver population and dementia prevalence increasing with age, policymakers face the challenge of balancing road safety and mobility of older adults. In states that require reporting a dementia diagnosis to the Department of Motor Vehicles (DMV), individuals with dementia may be reluctant to disclose symptoms of cognitive decline, and clinicians may be reluctant to probe for those symptoms, which may be associated with missed or delayed diagnoses...

BACKGROUND: It is known that many surgeons encounter intraoperative adverse events which can result in Second Victim Syndrome (SVS), with significant detriment to their emotional and physical health. There is, however, a paucity of Asian studies in this space. The present study thus aimed to explore the degree to which the experience of an adverse event is common among surgeons in Singapore, as well as its impact, and factors affecting their responses and perceived support systems. METHODS: A self-administered survey was sent to surgeons at four large tertiary hospitals...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative technologies in optimizing laparoscopic surgery, offering innovative solutions to enhance surgical precision, efficiency, and safety. This editorial explores the potential role of AI/ML across the surgical continuum, including preoperative optimization, intraoperative assistance, and postoperative care. It outlines the benefits of laparoscopic surgery compared to traditional open procedures and identifies current challenges such as technical difficulty and human error...

An increasing number of artificial intelligence (AI) tools are moving towards the clinical realm in histopathology and across medicine. The introduction of such tools will bring several benefits to diagnostic specialities, namely increased diagnostic accuracy and efficiency, however, as no AI tool is infallible, their use will inevitably introduce novel errors. These errors made by AI tools are, most fundamentally, misclassifications made by a computational algorithm. Understanding of how these translate into clinical impact on patients is often lacking, meaning true reporting of AI tool safety is incomplete...

BACKGROUND: The dry-pericardium Vienna transcatheter aortic valve system is repositionable and retrievable, already premounted on the delivery system, eliminating the need for assembly and crimping of the device before valve implantation. METHODS: The VIVA first-in-human feasibility study, a prospective, nonrandomized, single-center trial, evaluated the Vienna aortic valve in 10 patients with severe symptomatic aortic stenosis, who were at intermediate or high surgical risk...

BACKGROUND: Digital technologies are present in every phase of a drug lifecycle, from drug design and development to its dispensing and use. However, given the rapid development and implementation of digital solutions, their monitoring, evaluation and risk assessment are limited and lacking. OBJECTIVE: This research is aiming to identify potential errors, quantify and prioritize associated risks in the context of certain technologies used in pharmaceutical care, as well as define corrective measures to improve patient safety and the quality of pharmaceutical care...

Artificial Intelligence (AI) is defined as the simulation of human intelligence by a digital computer or robotic system and has become a hype in current conversations. A subcategory of AI is deep learning, which is based on complex artificial neural networks that mimic the principles of human synaptic plasticity and layered brain architectures, and uses large-scale data processing. AI-based image analysis in breast screening programmes has shown non-inferior sensitivity, reduces workload by up to 70% by pre-selecting normal cases, and reduces recall by 25% compared to human double reading...

OBJECTIVE: To provide an overview of medication errors (MEs) in veterinary medicine, with a focus on the perianesthetic period; to compare MEs in veterinary medicine with human anesthesia practice, and to describe factors contributing to the risk of MEs and strategies for error reduction. DATABASES USED: PubMed and CAB abstracts; search terms: [("patient safety" or "medication error∗") AND veterin∗]. CONCLUSIONS: Human anesthesia is recognized as having a relatively high risk of MEs...

BACKGROUND: Preventable patient harm, particularly medication errors, represent significant challenges in healthcare settings. Dispensing the wrong medication is often associated with mix-up of lookalike and soundalike drugs in high workload environments. Replacing manual dispensing with automated unit dose and medication dispensing systems to reduce medication errors is not always feasible in clinical facilities experiencing high patient turn-around or frequent dose changes. Artificial intelligence (AI) based pill recognition tools and smartphone applications could potentially aid healthcare workers in identifying pills in situations where more advanced dispensing systems are not implemented...

To optimize and ensure the safety of ultrasound brain therapy, personalized transcranial ultrasound simulations are very useful. They allow to predict the pressure field, depending on the patient skull and probe position. Most transcranial ultrasound simulations are based on numerical methods which have a long computation time and a high memory usage. The goal of this study is to develop a new semi-analytical field computation method that combines realism and computation speed.

Instead of the classic ray tracing, the ultrasonic paths are computed by time of flight minimization...

BACKGROUND: The safety of telemedicine in general and telephone triage (teletriage) safety in particular have been a focus of concern since the 1970s. Today, telehealth, now subsuming teletriage, has a basic structure and process intended to promote safety. However, inadequate telehealth systems may also compromise patient safety. The COVID-19 pandemic accelerated rapid but uneven telehealth growth, both technologically and professionally. Within 5-10 years, the field will likely be more technologically advanced; however, these advances may still outpace professional standards...

BACKGROUND: Promoting patient safety is a critical concern for developing-countries health systems like Morocco. There is an increasing acknowledgment of the need to create a patient-centered culture with the aim to decrease the number of adverse events related to care and improve health-care quality in Morocco. OBJECTIVE: The purpose of this study is to examine the perceptions of health professionals working in primary care level of care facilities in Morocco about the concept of patient safety culture...

BACKGROUND: Medication incidents (MIs) causing harm to patients have far-reaching consequences for patients, pharmacists, public health, business practice, and governance policy. Medication Incident Reporting and Learning Systems (MIRLS) have been implemented to mitigate such incidents and promote continuous quality improvement in community pharmacies in Canada. They aim to collect and analyze MIs for the implementation of incident preventive strategies to increase safety in community pharmacy practice...

This phase 3, open-label, multidose study (NCT04346108) evaluated the pharmacokinetics, safety, tolerability, and efficacy of immunoglobulin subcutaneous (human) 20% solution (Ig20Gly) administered weekly and every 2 weeks in Japanese patients with primary immunodeficiency diseases (PIDs). The study was conducted at eight study sites in Japan and enrolled patients aged ≥2 years with PIDs treated using a stable intravenous immunoglobulin dose for ≥3 months prior to the study. Patients received intravenous immunoglobulin every 3 or 4 weeks at pre-study dose (200-600 mg/kg) for 13 weeks (Epoch 1), subcutaneous Ig20Gly (50-200 mg/kg) once weekly for 24 weeks (Epoch 2), and Ig20Gly (100-400 mg/kg) every 2 weeks for 12 weeks (Epoch 3)...

BACKGROUND: Teamwork in emergency medical services is a very important factor in efforts to improve patient safety. The potential differences of staff gender on communication, patient safety, and teamwork were omitted. The aim of this study is to evaluate these inadequately examined areas. METHODS: A descriptive and anonymous study was conducted with an online questionnaire targeting emergency physicians and paramedics. The participants were asked about teamwork, communication, patient safety and handling of errors...

INTRODUCTION: Cyberattacks on healthcare organisations are becoming increasingly common and represent a growing threat to patient safety. The majority of breaches in cybersecurity have been attributed to human error. Intensive care departments are particularly vulnerable to cyberattacks. The aim of this study was to investigate cybersecurity awareness, knowledge and behaviours among critical care staff. METHODS: This was a multi-site cross-sectional survey study administered to critical care staff...

PURPOSE: Present knowledge of patient setup and alignment errors in image-guided radiotherapy (IGRT) relies on voluntary reporting, which is thought to underestimate error frequencies. A manual retrospective patient-setup misalignment error search is infeasible due to the bulk of cases to be reviewed. We applied a deep learning-based misalignment error detection algorithm (EDA) to perform a fully-automated retrospective error search of clinical IGRT databases and determine an absolute gross patient misalignment error rate...

Adverse events occur in all fields of medicine, including allergy-immunology, in which allergen immunotherapy medical errors can cause significant harm. Although difficult to experience, such errors constitute opportunities for improvement. Identifying system vulnerabilities can allow resolution of latent errors before they become active problems. We review key aspects and frameworks of the medical error response, acknowledging the fundamental responsibility of clinical teams to learn from harm. Adverse event response comprises 4 major phases: (1) event recognition and reporting, (2) investigation (for which root cause analysis can be helpful), (3) improvement (inclusive of the plan-do-study-act cycle), and (4) communication and resolution...

The Association of Reproductive and Clinical Scientists (ARCS) has long promoted the importance of externally accredited training and assessment of scientific staff within assisted conception centres to ensure professional registration and relevant training at all levels. This not only gives scientific staff the opportunity to empower themselves but also acts to ensure assisted conception centres maintain the highest standards of care and quality for patients whilst meeting HFEA requirements for staffing and training...