Innovative model of care

Background : Patent ductus arteriosus (PDA) is a prevalent congenital heart defect in premature infants, associated with significant morbidity and mortality. Accurate and timely diagnosis of PDA is crucial, given the vulnerability of this population. Methods : We introduce an artificial intelligence (AI)-based PDA diagnostic support system designed to assist medical professionals in diagnosing PDA in premature infants. This study utilized electronic health record (EHR) data from 409 premature infants spanning a decade at Severance Children's Hospital...

The precise placement of antennas is essential to ensure effective coverage, service quality, and network capacity in wireless communications, particularly given the exponential growth of mobile connectivity. The antenna positioning problem (APP) has evolved from theoretical approaches to practical solutions employing advanced algorithms, such as evolutionary algorithms. This study focuses on developing innovative web tools harnessing genetic algorithms to optimize antenna positioning, starting from propagation loss calculations...

This paper documents an innovative research approach undertaken to co-develop an integrated assessment, diagnosis, and support service trajectory for children suspected of having a developmental disability. It employed data-driven practices and involved multiple stakeholders such as parents, professionals, managers, and researchers. It emphasized the importance of incorporating experiential knowledge adopting an integrated care and service trajectory perspective, and using an implementation science framework...

The human respiratory system is susceptible to a variety of diseases, ranging from chronic obstructive pulmonary disease (COPD) and pulmonary fibrosis to acute respiratory distress syndrome (ARDS). Today, lung diseases represent one of the major challenges to the health care sector and represent one of the leading causes of death worldwide. Current treatment options often focus on managing symptoms rather than addressing the underlying cause of the disease. The limitations of conventional therapies highlight the urgent clinical need for innovative solutions capable of repairing damaged lung tissue at a fundamental level...

Castration-resistant prostate cancer remains a significant clinical challenge, wherein patients display no response to existing hormone therapies. The standard of care often includes aggressive treatment options using chemotherapy, radiation therapy and various drugs to curb the growth of additional metastases. As such, there is a dire need for the development of innovative technologies for both its diagnosis and its management. Traditionally, scientific exploration of prostate cancer and its treatment options has been heavily reliant on animal models and two-dimensional (2D) in vitro technologies...

The Rethinking Incarceration and Empowering Recovery (RIvER) Clinic was launched in June 2021 to address the health disparities experienced during and after incarceration. The RIvER Clinic's multidisciplinary, community-centered team engages patients during jail detention and after release via telehealth, collocated in community locations, on a mobile van, and in clinic. The clinic serves as a bridge between incarceration and the establishment of permanent health care and social services in the community. In 2022, a total of 479 visits were completed...

During the COVID-19 pandemic, the escalating trend of pediatric patients, particularly non-urgent cases, going to the emergency departments (EDs) in New South Wales, Australia, prompted the establishment of virtualKIDS, a nursing-led telehealth service. This service, initiated in June 2021, operates 24/7 and provides comprehensive care through audio-visual consultations emphasizing a patient-centered approach. Three elements-COVID-19 Outpatient Response Team (CORT), virtualKIDS Acute Review (vKAR), and Virtual Urgent Care (VUC)-addressed specific needs during and beyond the pandemic, showcasing the adaptability and impact of virtual care...

BACKGROUND: The growing use of cannabis in adolescence is a public health problem that must be addressed through prevention. In Spain, the average age of initiation of cannabis use in the adolescent population is 14.8 years. At 14 years, the lifetime prevalence of cannabis use is 11.7%, which increases to 51.,5% at the age of 18; the prevalence of cannabis use in the population aged 14 to 18 years is 28.6%, a figure that must be tried to reduce, that is why this school prevention program is proposed: Alerta Cannabis...

The World Health Organization recognized timely healthcare as a human right and called for the expansion of two-tiered prehospital and out-of-hospital emergency care systems in low- and middle-income countries. Tier-1 systems involve community-based first responder care, and Tier-2 systems involve more formalized emergency medical services designed as a sustainable system of services, including dedicated ambulances, personnel, and equipment. Tier-2 systems can play a crucial role in reducing mortality and disability due to emergency medical and surgical conditions worldwide...

OBJECTIVES: This study aimed to systematically assess global economic evaluation studies on COVID-19 vaccination, offer valuable insights for future economic evaluations, and assist policymakers in making evidence-based decisions regarding the implementation of COVID-19 vaccination. METHODS: Searches were performed from January 2020 to September 2023 across seven English databases (PubMed, Web of Science, MEDLINE, EBSCO, KCL-Korean Journal Dataset, SciELO Citation Index, and Derwent Innovations Index) and three Chinese databases (Wanfang Data, China Science and Technology Journal, and CNKI)...

OBJECTIVE: Hospital-to-home (H2H) transitions challenge families of children with medical complexity (CMC) and healthcare professionals (HCP). This study aimed to gain deeper insights into the H2H transition process and to work towards eHealth interventions for its improvement, by applying an iterative methodology involving both CMC families and HCP as end-users. METHODS: For 20-weeks, the Dutch Transitional Care Unit consortium collaborated with the Amsterdam University of Applied Sciences, HCP, and CMC families...

OBJECTIVE: This literature review aims to explore research and conceptual pieces on the state of ophthalmology education and suggest potential ways to address current challenges. METHODS: A search was conducted in PubMed, ERIC, Web of Science, and Google Scholar with combinations of the following search terms: "ophthalmology education," "undergraduate medical education," "medical student," "United States," and "Canada." Eliminating irrelevant articles yielded 47 articles...

OBJECTIVE: To explore the relationships among motivation, professional identity, and innovative ability of nursing intern students. BACKGROUND: Professional identity and innovative ability are important for nursing students' core competitiveness and care quality. During the internship, nursing students integrate theoretical knowledge and practice, and have a rapid growth. Motivation is positively associated with professional identity and innovative ability. However, there are limited studies examining the professional identity, motivation, and innovative ability of nursing intern students...

Recent AI advancements in cardiovascular care offer potential enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on automating measurements, enhancing image quality, and detecting diseases using novel methods. Applications span wearables, electrocardiograms, echocardiography, angiography, genetics, and more. AI models detect diseases from electrocardiograms at accuracy not previously achieved by technology or human experts, including reduced ejection fraction, valvular heart disease, and other cardiomyopathies...

Recent Artificial Intelligence (AI) advancements in cardiovascular care offer potential enhancements in effective diagnosis, treatment, and outcomes. Over 600 Food and Drug Administration (FDA)-approved clinical AI algorithms now exist, with 10% focusing on cardiovascular applications, highlighting the growing opportunities for AI to augment care. This review discusses the latest advancements in the field of AI, with a particular focus on the utilization of multimodal inputs and the field of generative AI. Further discussions in this review involve an approach to understanding the larger context in which AI-augmented care may exist, and include a discussion of the need for rigorous evaluation, appropriate infrastructure for deployment, ethics and equity assessments, regulatory oversight, and viable business cases for deployment...

Anaesthesia, crucial to surgical practice, is undergoing renewed scrutiny due to the integration of artificial intelligence in its medical use. The precise control over the temporary loss of consciousness is vital to ensure safe, pain-free procedures. Traditional methods of depth of anaesthesia (DoA) assessment, reliant on physical characteristics, have proven inconsistent due to individual variations. In response, electroencephalography (EEG) techniques have emerged, with indices such as the Bispectral Index offering quantifiable assessments...

BACKGROUND: There exist many barriers to hepatitis C virus (HCV) treatment for those with substance use disorder (SUD) or who lack access to routine medical care. A hospital-based telehealth program was developed to provide treatment opportunities for hospitalized patients living with HCV. METHODS: This single site prospective cohort study conducted from July 2022 to March 2023 aimed to measure linkage to care with an HCV clinician and initiation of HCV treatment in hospitalized patients...

(1) Background: Atrial fibrillation (AF) is a major risk factor for stroke and is often underdiagnosed, despite being present in 13-26% of ischemic stroke patients. Recently, a significant number of machine learning (ML)-based models have been proposed for AF prediction and detection for primary and secondary stroke prevention. However, clinical translation of these technological innovations to close the AF care gap has been scant. Herein, we sought to systematically examine studies, employing ML models to predict incident AF in a population without prior AF or to detect paroxysmal AF in stroke cohorts to identify key reasons for the lack of translation into the clinical workflow...

The rapid surge in artificial intelligence (AI) has dominated technological innovation in today's society. As experts begin to understand the potential, a spectrum of opportunities could yield a remarkable revolution. The upsurge in healthcare could transform clinical interventions and outcomes, but it risks dehumanization and increased unethical practices. The field of clinical nutrition and dietetics is no exception. This article finds a multitude of developments underway, which include the use of AI for malnutrition screening; predicting clinical outcomes, such as disease onset, and clinical risks, such as drug interactions; aiding interventions, such as estimating nutrient intake; applying precision nutrition, such as measuring postprandial glycemic response; and supporting workflow through chatbots trained on natural language models...

Colorectal cancer (CRC) ranks as the third leading cause of cancer-related mortality worldwide. The current standard of care includes systemic chemotherapy with cytotoxic agents, offering palliative relief for severe CRC cases and serving as the primary therapy for metastatic recurrence. However, the development of chemoresistance poses a substantial obstacle in the realm of chemotherapy. This study delved into the potential of a novel chromium (III)-based compound, hexaacetotetraaquadihydroxochromium (III) diiron (III) nitrate, for CRC treatment...