Decision support system

PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, machine learning-based 6-month survival prognosis information designed to aid oncology providers in preparing for and discussing prognosis with patients with advanced solid tumors and their caregivers. The primary purpose of this study was to assess patient and caregiver perceptions and identify enhancements of the interface for communicating 6-month survival and other prognosis information when making treatment decisions concerning anticancer and supportive therapy...

Accurately determining the diet of wild animals can be challenging if food items are small, visible only briefly, or rendered visually unidentifiable in the digestive system. In some food caching species, an additional challenge is determining whether consumed diet items have been previously stored or are fresh. The Canada jay (Perisoreus canadensis) is a generalist resident of North American boreal and subalpine forests with anatomical and behavioural adaptations allowing it to make thousands of arboreal food caches in summer and fall that are presumably responsible for its high winter survival and late winter/early spring breeding...

BACKGROUND: Preterm neonates are extensively monitored to require strict oxygen target attainment for optimal outcomes. In daily practice, detailed oxygenation data are hardly used and crucial patterns may be missed due to the snapshot presentations and subjective observations. This study aimed to develop a web-based dashboard with both detailed and summarized oxygenation data in real-time and to test its feasibility to support clinical decision making. METHODS: Data from pulse oximeters and ventilators were synchronized and stored to enable real-time and retrospective trend visualizations in a web-based viewer...

BACKGROUND: Invasive candidiasis is still recognized as a major cause of morbidity and mortality. To support clinicians in the optimal use of antifungals for the treatment of invasive candidiasis, a computerized decision support system (CDSS) was developed based on institutional guidelines. OBJECTIVES: To evaluate the correlation of this newly developed CDSS with clinical practices, we set-up a retrospective multicentre cohort study with the aim of providing the concordance rate between the CDSS recommendation and the medical prescription (NCT05656157)...

PURPOSE OF REVIEW: To explore the groundbreaking international consensus on the DEFASE (DEfinition of Food Allergy Severity) project as a revolutionary grading system for IgE-mediated food allergy severity. Against the backdrop of the growing public health challenge posed by food allergy, this article delves into the importance of validating and implementing DEFASE in real-world clinical settings. RECENT FINDINGS: With new therapeutic options available for food allergy, including biologics alongside immunotherapy, it is urgent to properly support clinical decision-making in the management of the disease...

BACKGROUND: Budget constraints in health care systems have led to the popularity of Cost Effectiveness Thresholds (CET) to achieve efficient allocation of resources. The capability approach has been hailed for its potentially richer evaluative capabilities compared to the QALY in terms of thresholds. Extensive research, however, is still limited. RESEARCH DESIGN AND METHODS: This study estimated the monetary value of a year in full capability (YFC) and compared it to monetary value of a QALY for the Hungarian population...

BACKGROUND: Evidence of COVID-19 vaccine safety relied upon the global vaccine monitoring infrastructure due to shortened clinical development timelines and emergency use licensure. Differences in AVSS capacity between high-income countries (HICs) versus low- and middle-income countries (LMICs) were known prior to the pandemic. OBJECTIVE: To assess the global landscape of COVID-19 vaccine AVSS activities to identify gaps in safety evidence generation across vaccine products and populations with a focus on LMICs...

INTRODUCTION: In 2021, a computerized physician order entry (CPOE) system with an integrated clinical decision support system (CDSS) was implemented at a tertiary care center for the treatment of mental health conditions in Lübeck, Germany. To date, no study has been reported on the types and prevalence of drug-related problems (DRPs) before and after CPOE implementation in a psychiatric inpatient setting. The aim of this retrospective before-and-after cohort study was to investigate whether the implementation of a CPOE system with CDSS accompanied by the introduction of regular medication plausibility checks by a pharmacist led to a decrease of DRPs during hospitalization and unsolved DRPs at discharge in psychiatric inpatients...

BACKGROUND: The introduction of the National Disability Insurance Scheme (NDIS) in Australia in 2013 promised significant improvements in the lives of adults with intellectual disabilities. Although the scheme enables support, there are challenges associated with establishing eligibility and administering funds. This scoping review explored perceived barriers and enablers to effectively utilising the NDIS for adults with intellectual disabilities and their families. METHOD: A scoping review of the empirical literature on the NDIS and intellectual disabilities included nine studies in this review...

Healthcare professionals often face ethical conflicts and challenges related to decision-making that have necessitated consideration of the use of conscientious objection (CO). No current guidelines exist within Spain's healthcare system regarding acceptable rationales for CO, the appropriate application of CO, or practical means to support healthcare professionals who wish to become conscientious objectors. As such, a procedural framework is needed that not only assures the appropriate use of CO by healthcare professionals but also demonstrates its ethical validity, legislative compliance through protection of moral freedoms and patients' rights to receive health care...

BACKGROUND: [18 F]FDG-PET/CT is used for staging and treatment planning in patients with locally advanced cervical cancer (LACC). We studied if a PET-based prediction model could provide additional risk stratification beyond International Federation of Gynaecology and Obstetrics (FIGO) staging in our population with LACC to aid treatment decision making. METHODS: In total, 183 patients with LACC treated with chemoradiation between 2013 and 2018 were included. Patients were treated according to FIGO 2009 and retrospectively reclassified according to FIGO 2018 staging system...

BACKGROUND: To effectively embed exercise rehabilitation in cancer survivorship care, a co-ordinated system of acute and community exercise rehabilitation services, forming a stepped model of care, is recommended. Patients can be directed to the exercise rehabilitation service which best meets their needs through a system of assessment, triage and referral. Triage and referral systems are not yet widely applied in cancer survivorship practice and need to be evaluated in real-world contexts...

Large language models (LLMs) can potentially transform healthcare, particularly in providing the right information to the right provider at the right time in the hospital workflow. This study investigates the integration of LLMs into healthcare, specifically focusing on improving clinical decision support systems (CDSSs) through accurate interpretation of medical guidelines for chronic Hepatitis C Virus infection management. Utilizing OpenAI's GPT-4 Turbo model, we developed a customized LLM framework that incorporates retrieval augmented generation (RAG) and prompt engineering...

BACKGROUND: Health Care Professionals (HCPs) are the main end-users of digital clinical tools such as electronic prescription systems. For this reason, it is of high importance to include HCPs throughout the design, development and evaluation of a newly introduced system to ensure its usefulness, as well as confirm that it tends to their needs and can be integrated in their everyday clinical practice. METHODS: In the context of the PrescIT project, an electronic prescription platform with three services was developed (i...

OBJECTIVE: Our objective is to develop a novel keratoconus image classification system that leverages multiple pretrained models and a transformer architecture to achieve state-of-the-art performance in detecting keratoconus. METHODS AND ANALYSIS: Three pretrained models were used to extract features from the input images. These models have been trained on large datasets and have demonstrated strong performance in various computer vision tasks.The extracted features from the three pretrained models were fused using a feature fusion technique...

Increasing manganese (Mn) concentrations in source water contribute to aesthetic and health-related concerns in drinking water. The challenges with Mn in drinking water primarily arise from elevated Mn concentrations in the water supply reservoir, with the inefficacy of Mn treatment largely attributed to fluctuating Mn levels in the water source. A three-dimensional Mn cycle model in a temperate monomictic reservoir, Tarago Reservoir, and a decision support system reflecting Mn variations in the local water treatment plant have been established in previous research...

INTRODUCTION: Atopic dermatitis is associated with intense itch, which has been shown to cause sleep disruption that significantly impacts the lives of patients with atopic dermatitis. Despite this, little is known about its burden to the healthcare system and society. This study aimed to quantify the economic burden of itch-related sleep loss in moderate-to-severe atopic dermatitis in the UK. METHODS: A literature-based decision-analytic model was developed from a healthcare payer and societal perspective...

Breast cancer is the most prevalent malignancy among adolescents and young adults (AYAs). Despite the efficacy of chemotherapy, AYA patients contend with psychosocial challenges, including psychological distress and financial toxicity, exacerbated further by those with dependent children. Parenting responsibilities intersect with cancer care, impacting both family dynamics and treatment adherence. Despite recognized needs, however, the impact of parenting concerns or even parenting status and the presence of dependents has not been systematically addressed and there is a paucity of interventional research regarding patients with cancer as concomitant caregivers...

AIM: To explore factors that influence the impact of nurse practitioners' clinical autonomy with a self-determining perspective. BACKGROUND: Worldwide, there is a significant demand for healthcare professionals such as the nurse practitioner in meeting some healthcare needs across patients' lifespans. Factors influencing nurse practitioners clinical autonomy can impact the full utilisation of the role in practice. INTRODUCTION: Limited evidence exists that describes or researches nurse practitioner clinical autonomy...

BACKGROUND: The major driver of antibiotic resistance is the huge increase in antibiotic prescribing, especially in low- and middle-income countries. AIM: This study aimed to explore factors affecting antibiotic prescribing at primary healthcare facilities in Addis Ababa, Ethiopia. METHODS: The study was part of a three-phased explanatory sequential mixed method design. The study was conducted in five primary healthcare facilities through in-depth interviews of 20 prescribers and 22 key informants using pre-prepared interview guides...