integrity of physicians

OBJECTIVE: Aim: To study and analyze the attitude of women of reproductive age to the integrated gynecological care provision by family physicians, their readiness to receive some gynecological services from family physicians, as well as to analyze the level of women's support and readiness for the integrated provision of gynecological care depending on age and level of education. PATIENTS AND METHODS: Materials and Methods: For the survey, anonymous questionnaires containing questions on the attitude of women of reproductive age to the integrated provision of certain types of gynecological care by family physicians were developed...

This investigation explores the potential efficacy of machine learning algorithms (MLAs), particularly convolutional neural networks (CNNs), in distinguishing between benign and malignant breast cancer tissue through the analysis of 1000 breast cancer images gathered from Kaggle.com, a domain of publicly accessible data. The dataset was meticulously partitioned into training, validation, and testing sets to facilitate model development and evaluation. Our results reveal promising outcomes, with the developed model achieving notable precision (92%), recall (92%), accuracy (92%), sensitivity (89%), specificity (96%), an F1 score of 0...

Posttraumatic osteoarthritis (PTOA) patients are often diagnosed by X-ray imaging at a middle-late stage when drug interventions are less effective. Early PTOA is characterized by overexpressed matrix metalloprotease 13 (MMP13). Herein, we constructed an integrated diagnosis and treatment micelle modified with MMP13 enzyme-detachable, cyanine 5 (Cy5)-containing PEG, black hole quencher-3 (BHQ3), and cRGD ligands and loaded with siRNA silencing MMP13 (siM13), namely ERMs@siM13. ERMs@siM13 could be cleaved by MMP13 in the diseased cartilage tissues to detach the PEG shell, causing cRGD exposure...

BACKGROUND: The integration of real-time data (RTD) in the electronic health records (EHRs) is transforming the healthcare of tomorrow. In this work, the common scenarios of capturing RTD in the healthcare from EHRs are studied and the approaches and tools to implement real-time solutions are investigated. METHODS: Delivering RTD by representational state transfer (REST) application programming interfaces (APIs) is usually accomplished through a Publish-Subscribe approach...

OBJECTIVE: To develop an accurate and reproducible measure of vertical integration between physicians and hospitals (defined as hospital or health system employment of physicians), which can be used to assess the impact of integration on healthcare quality and spending. DATA SOURCES AND STUDY SETTING: We use multiple data sources including from the Internal Revenue Service, the Centers for Medicare and Medicaid Services, and others to determine the Tax Identification Numbers (TINs) that hospitals and physicians use to bill Medicare for services, and link physician billing TINs to hospital-related TINs...

BACKGROUND: Mahana™ IBS is a Food and Drug Administration-cleared prescription mobile application designed to deliver 3 months of gut-directed cognitive behavioral therapy (CBT) to adults ≥22 years old with irritable bowel syndrome (IBS). We assessed whether gut-directed CBT delivered digitally improved outcomes in IBS management. METHODS: We studied users who had a dispensed physician prescription for Mahana™ IBS between August 2021 and August 2023...

INTRODUCTION: Current Procedural Terminology (CPT) codes provide a uniform language for medical billing, but specific codes have not been assigned for lymphatic reconstruction techniques. The authors hypothesized that inadequate codes would contribute to heterogeneous coding practices and reimbursement challenges, ultimately limiting surgeons' ability to treat patients. METHODS: A 22-item virtual questionnaire was offered to 959 members of the American Society of Reconstructive Microsurgeons to assess the volume of lymphatic reconstruction procedures performed, CPT codes used for each procedure, and challenges related to coding and providing care...

Integrating video clips in the discharge process may enhance patients' understanding and awareness of their condition. To determine the effect of video clip-integrated discharge discussion on patient comprehension of atrial fibrillation (AF) and deep vein thrombosis (DVT), and their main complications (stroke and pulmonary embolism), we designed a multicentre, pragmatic, parallel groups, randomised clinical trial, that was conducted at two Emergency Units in Italy. A convenience sample of 144 adult patients (or their caregivers) discharged home with either AF or DVT were randomised to receive standard verbal instructions (control) or video clip-integrated doctor-patient discharge discussion...

INTRODUCTION: Poor comprehension and medication adherence are common in older people, especially after hospitalizations, in case of changes or prescriptions of new therapeutic regimes. This randomized controlled trial aims to evaluate the effectiveness of an integrated approach in improving older individuals' adherence to medical recommendations after hospital discharge. METHODS: Data from an expected sample of 360 older inpatients (and their caregivers) will be collected...

BACKGROUND: There is a dearth of feasibility assessments regarding using large language models (LLMs) for responding to inquiries from autistic patients within a Chinese-language context. Despite Chinese being one of the most widely spoken languages globally, the predominant research focus on applying these models in the medical field has been on English-speaking populations. OBJECTIVE: This study aims to assess the effectiveness of LLM chatbots, specifically ChatGPT-4 (OpenAI) and ERNIE Bot (version 2...

BACKGROUND: Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a standardized semi-quantitative method for early ischemic changes in acute ischemic stroke. PURPOSE: However, ASPECTS is still affected by expert experience and inconsistent results between readers in clinical. This study aims to propose an automatic ASPECTS scoring model based on diffusion-weighted imaging (DWI) mode to help clinicians make accurate treatment plans. METHODS: Eighty-two patients with stroke were included in the study...

BACKGROUND: Conflicts of interest inherent in industry funding can bias medical research methods, outcomes, reporting and clinical applications. This study explored the extent of funding provided to American physician researchers studying surgical mesh used to treat uterine prolapse or stress urinary incontinence, and whether that funding was declared by researchers or influenced the ethical integrity of resulting publications in peer reviewed journals. METHODS: Publications identified via a Pubmed search (2014-2021) of the terms mesh and pelvic organ prolapse or stress urinary incontinence and with at least one US physician author were reviewed...

INTRODUCTION: The health professions education literature shows an increased focus on inclusion of lesbian, gay, bisexual, transgender, and queer (LGBTQ) content in curricula; however, it does not address hours of content or methods for content delivery. The purpose of this study was to describe the delivery of LGBTQ content in physician assistant (PA) education through a national survey of PA programs. METHODS: In 2021, a national program survey was sent to all US-accredited PA Programs (n = 284) and had a completion rate of 71...

PURPOSE: Evidence suggests that oncology patients are satisfied with and sometimes prefer telemedicine compared with in-person visits; however, data are scarce on when telemedicine is appropriate for specific cancer populations. In this study, we aim to identify factors that influence patient experience and appropriateness of telemedicine use among a head and neck cancer (HNC) population. METHODS: We performed a mixed-methods study at a multisite cancer center. First, we surveyed patients with HNC and analyzed factors that may influence their telemedicine experience using multivariate regression...

INTRODUCTION: When predicting future events, we often rely on analyzing past occurrences and projecting them forward. This methodology is crucial in various fields, including toxicology, in which predicting outcomes in poisoned patients plays a vital role in guiding treatment decisions and improving patient care. IMPORTANCE OF PREDICTING OUTCOMES IN POISONED PATIENTS: In cases of poisoning, understanding a patient's medical history, current physiological status, and the toxicokinetics of the ingested substance is essential for predicting potential outcomes and determining appropriate interventions...

BACKGROUND: The integration of Information Technology (IT) into private medical practice is crucial in modern healthcare. Physicians managing office-related IT without proper knowledge risk operational inefficiencies and security. OBJECTIVES: This study determines the relevance of specific IT topics in medical practice and identifies the training needs of physicians for enhancing IT competencies in healthcare. METHODS: In March 2023 a cross-sectional online survey was conducted with physicians comprising nine IT-related topics in Tyrol, Austria...

UNLABELLED: The integration of Artificial Intelligence (AI) into digital healthcare, particularly in the anonymisation and processing of health information, holds considerable potential. OBJECTIVES: To develop a methodology using Generative Pre-trained Transformer (GPT) models to preserve the essence of medical advice in doctors' responses, while editing them for use in scientific studies. METHODS: German and English responses from EXABO, a rare respiratory disease platform, were processed using iterative refinement and other prompt engineering techniques, with a focus on removing identifiable and irrelevant content...

BACKGROUND: Healthcare systems are increasingly resource constrained, leaving less time for important patient-provider interactions. Conversational agents (CAs) could be used to support the provision of information and to answer patients' questions. However, information must be accessible to a variety of patient populations, which requires understanding questions expressed at different language levels. METHODS: This study describes the use of Large Language Models (LLMs) to evaluate predefined medical content in CAs across patient populations...

Alzheimer's disease (AD) is the leading cause of dementia worldwide and significantly impacts the essential functions of daily life and social activities. Research on AD has found that its pathogenesis is related to the extracellular accumulation of amyloid-beta (Aβ) plaques and intracellular neurofibrillary tangles in the cortical and limbic areas of the human brain, as well as cerebrovascular factors. The detection of Aβ or tau can be performed using various probes and methodologies. However, these modalities are expensive to implement and often require invasive procedures, limiting accessibility on a large scale...

Compassion and kindness are interchangeable attitudes and behaviors in society. As evidence shows the importance of compassion and kindness in healthcare, there has been a push to nurture and teach compassion through experiential learning in medical schools. However, there is not much evidence of educating learners on the importance of kindness as the complement or foundation of compassion and empathy. Kindness is the ability to act positively and appropriately and can be provided without emotion, judgment, or expecting anything in return...