Medical model of inquiry

OBJECTIVES: Exploring clinical information-seeking behaviour (CISB) and its associated factors contributes to its theoretical advancement and offers a valuable framework for addressing physicians' information needs. This study delved into the dimensions, interactions, strategies and determinants of CISB among physicians at the point of care. DESIGN: A grounded theory study was developed based on Strauss and Corbin's approach. Data were collected by semistructured interviews and then analysed through open, axial and selective coding...

Researchers and scientists can use computational-based models to turn linked data into useful information, aiding in disease diagnosis, examination, and viral containment due to recent artificial intelligence and machine learning breakthroughs. In this paper, we extensively study the role of artificial intelligence and machine learning in delivering efficient responses to the COVID-19 pandemic almost four years after its start. In this regard, we examine a large number of critical studies conducted by various academic and research communities from multiple disciplines, as well as practical implementations of artificial intelligence algorithms that suggest potential solutions in investigating different COVID-19 decision-making scenarios...

Background While large language models show potential as beneficial tools in medicine, their reliability, especially in the realm of obstetrics and gynecology (OB-GYN), is not fully comprehended. This study seeks to measure and contrast the performance of ChatGPT and HuggingChat in addressing OB-GYN-related medical examination questions, offering insights into their effectiveness in this specialized field. Methods ChatGPT and HuggingChat were subjected to two standardized multiple-choice question banks: Test 1, developed by the National Board of Medical Examiners (NBME), and Test 2, gathered from the Association of Professors of Gynecology & Obstetrics (APGO) Web-Based Interactive Self-Evaluation (uWISE)...

PURPOSE: A major barrier to glaucoma medication adherence is the patient's out-of-pocket costs. At the University of Chicago Medical Center (UCMC), the institutional pharmacy piloted a program to query out-of-pocket costs for each patient's medication list based on their insurance coverage. This study aims to describe the impact of this collaboration between the glaucoma service and the outpatient pharmacy service. METHODS: This study is a single institution, retrospective chart review of glaucoma patients with a formulary inquiry placed by a single glaucoma specialist between 4/1/2020 and 2/28/2022...

Mothers' experiences of caring for children with Prader-Willi Syndrome (PWS) is largely unknown. With no treatment for PWS, parents undertake (extra)ordinary care practices to keep children safe from overeating and self harm. Knowledge of these care practices could lead to effective interventions. Narrative inquiry was used to study everyday experience with Canadian mothers. Participants cared for a child 3 to 17 years old who had hyperphagia. Participants were interviewed 8 to 12 times each over the course of a year...

Patient readmission for ischemic stroke significantly strains the healthcare and medical insurance systems. Current understanding of the risk factors associated with these readmissions, as well as their subsequent impact on mortality within China, remains insufficient. This is particularly evident in the context of comprehensive, contemporary population studies. This 4-year retrospective cohort study included 125 397 hospital admissions for ischemic stroke from 838 hospitals located in 22 regions (13 urban and 9 rural) of a major city in western China, between January 1, 2015 and December 31, 2018...

There are differing views on how learners' feedback-seeking behaviours (FSB) develop during training. With globalisation has come medical student migration and programme internationalisation. Western-derived educational practices may prove challenging for diverse learner populations. Exploring undergraduate activity using a model of FSB may give insight into how FSB evolves and the influence of situational factors, such as nationality and site of study. Our findings seek to inform medical school processes that support feedback literacy...

Integration of medication-assisted treatment (MAT) for opioid use disorder in primary care settings is an emerging health care delivery model that supports increased access to specialized care but requires primary care provider engagement. Examining the characteristics of providers who provide this service is key to informing targeted recruitment. Using administrative and supplemental data collected during license renewal, this study aimed to identify the characteristics of primary care physicians and nurse practitioners (NPs) associated with greater odds of providing MAT in their practice...

BACKGROUND: Artificial intelligence (AI) has emerged as a powerful tool in various medical fields, including plastic surgery. This study aims to evaluate the performance of ChatGPT, an AI language model, in elucidating historical aspects of plastic surgery and identifying potential avenues for innovation. METHODS: A comprehensive analysis of ChatGPT's responses to a diverse range of plastic surgery-related inquiries was performed. The quality of the AI-generated responses was assessed based on their relevance, accuracy, and novelty...

BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can contribute to making diseases more treatable in their early stages. PURPOSE: This study aims to evaluate the quality of patient information by assessing the responses of the Chat Generative Pretrained Transformer (ChatGPT, Open AI, USA) artificial intelligence model to questions related to medication-related osteonecrosis of the jaw (MRONJ). STUDY DESIGN, SETTING, SAMPLE: The study was prospective cross-sectional design...

Food is medicine (FIM) initiatives are an emerging strategy for addressing nutrition-related health disparities increasingly endorsed by providers, payers, and policymakers. However, food insecurity screening protocols and oversight of medically-tailored food assistance programs are novel for many healthcare settings. Here, we describe the pre-implementation planning processes used to successfully engage federally-qualified health centers (FQHCs) across Kansas to develop new FIM initiatives. A Kansas-based philanthropic foundation facilitated pre-implementation planning for FQHCs over 17 months across 3 stages: 1) Community inquiry, 2) FIM learning event with invitation for FQHC attendees to request pre-implementation funding, and 3) Pre-implementation planning workshops and application assignments for FQHC grantees to develop a FIM implementation grant proposal...

Canadian registered pharmacy technicians (RPTs) were vital in supporting pharmacy operations during the pandemic. However, they have received little attention during or pre-pandemic. This study aimed to identify and understand the stressors experienced by Canadian RPTs during the pandemic and gain insights on lessons learned to help improve the profession. Through a descriptive qualitative design, virtual semi-structured focus groups were conducted with RPTs who were recruited through various sampling methods across Canada...

BACKGROUND: Academic inquiry is foundational to the advancement of medicine and resident training and must be demonstrated to the Accreditation Council for Graduate Medical Education. Past attempts at increasing publication rates have failed to identify educational best practice models. Our aim was to increase resident publication rates via culture and value changes that are universally implementable, affordable, effective, and sustainable. METHODS: In 2018, a multifaceted initiative was implemented to shift departmental values and foster a culture of academic productivity...

The Quality Payment Program (QPP) is a Medicare value-based payment program with 2 tracks: -Advanced Alternative Payment Models (A-APMs), including two-sided risk Accountable Care Organizations (ACOs), and Merit-based Incentive Payment System (MIPS). In 2020, A-APM eligible ACO clinicians received an additional 5% positive, and MIPS clinicians received up to 5% negative or 2% positive performance-based adjustments to their Medicare Part B medical services payments. It is unclear whether the different payment adjustments have differential impacts on total medical services payments for ACO and MIPS participants...

INTRODUCTION: Appreciative inquiry harnesses an individual's strengths to realize positive change, and a flourishing-focused mindset emphasizes engagement, social connectivity, and seeking meaningful work. Though the impact of these models on physician well-being and career planning has been evaluated in graduate medical education, their integration into career development initiatives for faculty has been limited. We designed a workshop to nurture hospitalist career development, based on our CORE2 conceptual framework (character strengths, overall vision, role assessment, explicit goals, and evaluation)...

Artificial intelligence (AI) chatbots utilizing large language models (LLMs) have recently garnered significant interest due to their ability to generate humanlike responses to user inquiries in an interactive dialog format. While these models are being increasingly utilized to obtain medical information by patients, scientific and medical providers, and trainees to address biomedical questions, their performance may vary from field to field. The opportunities and risks these chatbots pose to the widespread understanding of skeletal health and science are unknown...

BACKGROUND: The rise of artificial intelligence (AI) in medicine has revealed the potential of ChatGPT as a pivotal tool in medical diagnosis and treatment. This study assesses the efficacy of ChatGPT versions 3.5 and 4.0 in addressing renal cell carcinoma (RCC) clinical inquiries. Notably, fine-tuning and iterative optimization of the model corrected ChatGPT's limitations in this area. METHODS: In our study, 80 RCC-related clinical questions from urology experts were posed three times to both ChatGPT 3...

INTRODUCTION: Global workforce shortages in medical specialties strain healthcare systems, jeopardising patient outcomes. Enhancing recruitment strategies by supporting professional identity (PI) development may be one way to address this workforce gap-yet little research has explored this topic. The goal of the current study was to explore specialty-specific recruitment through considering PI. As proposed causes of workforce shortages in anatomical pathology (AP) bear similarities to many other specialties, this study uses the field of AP as a model for specialist PI development and asks: (1) why, how and when do doctors choose to pursue AP training and (2) what can be learned from this for recruitment to AP and other specialties? METHODS: A qualitative research approach was undertaken using narrative inquiry...

The relationship between women's working status and fertility behavior has been a topic of interest for researchers and policymakers. The societal shifts over time, particularly the increasing participation of women in the workforce, have transformed traditional roles. Women, once primarily perceived as caregivers, are now assuming roles of economic independence. This transformation prompts a re-evaluation of the traditional association between women's working status and fertility behavior. This study aims to investigate the impact of women's working status on fertility behavior using a multistage stratified sampling design...

OBJECTIVE: Large language models (LLMs) such as ChatGPT are increasingly explored in medical domains. However, the absence of standard guidelines for performance evaluation has led to methodological inconsistencies. This study aims to summarize the available evidence on evaluating ChatGPT's performance in answering medical questions and provide direction for future research. METHODS: An extensive literature search was conducted on June 15, 2023, across ten medical databases...