Medication errors

Seismocardiogram (SCG) signals are noninvasively obtained cardiomechanical signals containing important features for cardiovascular health monitoring. However, these signals are prone to contamination by motion noise, which can significantly impact accuracy and robustness of the measurements. A deep learning model based on the U-Net architecture is proposed to recover SCG signals contaminated by motion noise induced by walking. The model performance was evaluated through qualitative visualization, as well as quantitative analyses...

Accurate recognition of fetal anatomical structure is a pivotal task in ultrasound (US) image analysis. Sonographers naturally apply anatomical knowledge and clinical expertise to recognizing key anatomical structures in complex US images. However, mainstream object detection approaches usually treat each structure recognition separately, overlooking anatomical correlations between different structures in fetal US planes. In this work, we propose a Fetal Anatomy Reasoning Network (FARN) that incorporates two kinds of relationship forms: a global context semantic block summarized with visual similarity and a local topology relationship block depicting structural pair constraints...

BACKGROUND: ChatGPT is the most advanced large language model to date, with prior iterations having passed medical licensing examinations, providing clinical decision support, and improved diagnostics. Although limited, past studies of ChatGPT's performance found that artificial intelligence could pass the American Heart Association's advanced cardiovascular life support (ACLS) examinations with modifications. ChatGPT's accuracy has not been studied in more complex clinical scenarios...

Haemorrhoidal disease is identified by declension of the inflamed and bleeding of vascular tissues of the anal canal. Traditionally, haemorrhoids are associated with chronic constipation and the most common symptoms are irritation in anus region, pain and discomfort, swelling around anus, tender lumps around the anus and rectal bleeding (depending upon the grade of haemorrhoid). Among the several conventional treatment procedures (commonly mentioned as, rubber band litigation, sclerotherapy and electrotherapy), laser haemorrhoidoplasty is an out-patient and less-invasive laparoscopic procedure...

BACKGROUND: High-alert medication (HAM) is more predictable to cause significant harm to the patient, even when used as intended. The damage related to the HAM lead not only suffering to the patient, but also raise the additional costs associated with care. OBJECTIVE: Evaluate the incidence of drug-related adverse events related to the use of high-alert medications. METHODS: It was conducted an active search for information through COCHRANE databases, LILACS, SciELO, SCOPUS, PubMed/MEDLINE and WEB OF SCIENCE...

Introduction The use of robotic-assisted surgeries (RAS) has been growing in surgical specialties. It allows surgeons to perform higher-quality operations with fewer complications, mortality, and morbidity. However, there are a lot of misconceptions about RAS among patients. Therefore, our study aimed to assess the knowledge, attitude, awareness, and future expectations of RAS in patients attending surgical clinics. Methods  A cross-sectional study was conducted in King Abdulaziz Medical City (KAMC) surgical clinics in Riyadh, Saudi Arabia...

Electronic health records (EHR) have revolutionized healthcare by providing efficient access to patient information, but their implementation poses various challenges. This paper examines the ethical and legal issues surrounding EHR adoption, particularly focusing on the healthcare landscape in India. Ethical considerations, including patient autonomy, confidentiality, beneficence, and justice, must guide EHR implementation to protect patient rights and privacy. Legal issues such as medical errors, malpractice, data breaches, and billing inaccuracies underscore the importance of robust policies and security measures...

This paper presents a miniaturized implant with a diameter of only 14 mm, which houses a novel System on Chip (SoC) enabling two voltage level stimulation of up to 16 implants using a single Tx coil. Each implant can operate at a distance of 80 mm in the air through the inductive resonant link. The SoC consumes only 27 μ W static power and enables two channels with stimulation amplitudes of 1.8 V and 3.3 V and timing resolution of 100 μ s. The SoC is implemented in the standard 180 nm complementary metal oxide semiconductor (CMOS) technology and has an area of 0...

BACKGROUND: A seminal study found higher subgenual frontal cortex resting-state connectivity with 2 left ventral frontal regions and the dorsal midbrain to predict better response to psychotherapy versus medication in individuals with treatment-naïve major depressive disorder (MDD). Here, we examined whether these subgenual networks also play a role in the pathophysiology of clinical outcomes in MDD with early treatment resistance in primary care. METHODS: Forty-five people with current MDD who had not responded to ≥2 serotonergic antidepressants ( n  = 43, meeting predefined functional magnetic resonance imaging minimum quality thresholds) were enrolled and followed over 4 months of standard care...

OBJECTIVE: Involvement of the lower urinary tract is found in 0.2-2.5% of all deep infiltrating endometriosis (DIE)1 , 2 . The bladder is the most affected organ with a prevalence of up to 80% of cases3 . Patients with bladder endometriosis are often symptomatic (dysuria, hyperactive bladder, recurrent urinary tract infections and hematuria). Surgery is the gold standard treatment for this condition when medical therapy fails1 , 2 . Several studies have shown the feasibility, effectiveness, and safety of the laparoscopic approach4 but data about robotic-assisted approach are missing in literature...

OBJECTIVES: Incident reporting systems are widely used to identify risks and enable organisational learning. Free-text descriptions contain important information about factors associated with incidents. This study aimed to develop error scores by extracting information about the presence of error factors in incidents using an original decision-making model that partly relies on natural language processing techniques. METHODS: We retrospectively analysed free-text data from reports of incidents between January 2012 and December 2022 from Nagoya University Hospital, Japan...

BACKGROUND: U.S.-focused studies have reported decreasing dementia prevalence in recent decades, but have not yet focused on the implications of the COVID-19 pandemic for trends. METHODS: We use the 2011-2021 National Health and Aging Trends Study (N=48,065) to examine dementia prevalence, incidence and mortality trends among adults ages 72 and older, and the contribution to prevalence trends of changes in the distribution of characteristics of the older population ("compositional shifts") during the full and pre-pandemic periods...

BACKGROUND: This paper presents a data-driven strategy for establishing the reportable interval in clinical laboratory testing. The reportable interval defines the range of laboratory result values beyond which reporting should be withheld. The lack of clear guidelines and methodology for determining the reportable interval has led to potential errors in reporting and patient risk. METHODS: To address this gap, the study developed an integrated strategy that combines statistical analysis, expert review, and hypothetical outlier calculations...

BACKGROUND: Curved root canals are associated with the highest number of procedural errors during endodontic instrumentation. Recently, numerous rotary instruments have been developed, with both manual and automated mechanisms, to facilitate endodontic treatment and manage the complications related to it. OBJECTIVES: The aim of the study was to assess post-endodontic pain after using the HyFlex® EDM OneFile (HEDM), WaveOne® Gold (WOG) and XP-endo® Shaper (XPS) systems in the preparation of curved canals in patients with asymptomatic irreversible pulpitis...

Health care workers are at increased risk for mental health issues due to high psychological and physical job demands. According to a recent study, stress beliefs (i.e., believing stress to be detrimental to one's health) might influence physicians' mental health in response to a naturalistic stressor (COVID-19 hospital working conditions). Due to a small sample size and high alpha error inflation, the suggested association needs to be interpreted with caution. The current study aims to replicate those findings in a larger sample...

Microscopy is integral to medical research, facilitating the exploration of various biological questions, notably cell quantification. However, this process's time-consuming and error-prone nature, attributed to human intervention or automated methods usually applied to fluorescent images, presents challenges. In response, machine learning algorithms have been integrated into microscopy, automating tasks and constructing predictive models from vast datasets. These models adeptly learn representations for object detection, image segmentation, and target classification...

OBJECTIVE: The objective of this study is to systematically examine the efficacy of both proprietary (GPT-3.5, GPT-4) and open-source large language models (LLMs) (LLAMA 7B, 13B, 70B) in the context of matching patients to clinical trials in healthcare. MATERIALS AND METHODS: The study employs a multifaceted evaluation framework, incorporating extensive automated and human-centric assessments along with a detailed error analysis for each model, and assesses LLMs' capabilities in analyzing patient eligibility against clinical trial's inclusion and exclusion criteria...

OBJECTIVES: Analyze and verify the association between working conditions and the occurrence of errors in nursing work. BACKGROUND: Many of the known errors in nursing are based on the structural failure of the complex health service system. Our study addresses the question "Is there an association between errors made by nursing workers and working conditions?" METHODS: The study was carried out through a cross-sectional exploratory analysis of 19 ethical-disciplinary processes focused on errors made by nursing workers...

Cardiovascular MRI (CMRI) is a non-invasive imaging technique adopted for assessing the blood circulatory system's structure and function. Precise image segmentation is required to measure cardiac parameters and diagnose abnormalities through CMRI data. Because of anatomical heterogeneity and image variations, cardiac image segmentation is a challenging task. Quantification of cardiac parameters requires high-performance segmentation of the left ventricle (LV), right ventricle (RV), and left ventricle myocardium from the background...

OBJECTIVE: The aim of our study was to measure the ability of ALS patients to process dynamic facial expressions as compared to a control group of healthy subjects and to correlate this ability in ALS patients with neuropsychological, clinical and neurological measures of the disease. METHODS: Sixty-three ALS patients and 47 healthy controls were recruited. All the ALS patients also underwent i) the Geneva Emotion Recognition Test (GERT) in which ten actors express 14 types of dynamic emotions in brief video clips with audio, ii) the Edimburgh Cognitive and Behavioral ALS Screen (ECAS) test; iii) the ALS Functional Rating Scale Revised (ALSFRS-R) and iv) the Medical Research Council (MRC) for the evaluation of muscle strength...