Health & Care

[ad_1] The gym dedicated to women with disabilities in Nungambakkam, Chennai. | Photo Credit: M. Srinath M. Nathiya swiftly pulls one side of the cable crossover machine, which weighs over 6 kg, and proceeds to pull at the other, grunting every time. Seated in her wheelchair at a recently established gym for women with disabilities, […]

[ad_1] Results In total, we examined mortality patterns in 607 980 SoS patients across three Trusts. In Trust A, we included 156 387 patients who were admitted over 119 months, in Trust B 248 301 patients over 85 months, in Trust C 203 212 over 118 months and Trust D 110 110 over 46 months. In all Trusts,

[ad_1] Abstract The recent emergence of foundation model-based chatbots, such as ChatGPT (OpenAI, San Francisco, CA, USA), has showcased remarkable language mastery and intuitive comprehension capabilities. Despite significant efforts to identify and address the near-term risks associated with artificial intelligence (AI), our understanding of the existential threats they pose remains limited. Near-term risks stem from

[ad_1] Results In total, we examined mortality patterns in 607 980 SoS patients across three Trusts. In Trust A, we included 156 387 patients who were admitted over 119 months, in Trust B 248 301 patients over 85 months, in Trust C 203 212 over 118 months and Trust D 110 110 over 46 months. In all Trusts,

[ad_1] Discussion In this clinical study, we employed five distinct ML algorithms to predict the risk of PVST during the 3-month follow-up after splenectomy in patients with cirrhosis. Although some early predictive models have been developed using traditional statistical methods, the performance of ML approaches remained unclear. Our findings indicate that the ML-based prediction models

[ad_1] Overview AI promises to revolutionise healthcare by ushering in a new era of medicine and alleviating the strain on overburdened healthcare systems. However, there is a growing consensus that realising AI’s potential requires adequate legal governance. Given the rapid evolution of AI technology, delivering optimal regulation presents a significant challenge. Addressing this challenge necessitates

[ad_1] Methods Source of data and participants The delirium risk calculated using the PIPRA model was routinely collected, together with the delirium screening results, during a quality improvement project (QIP) in a Swiss, private 335-bed hospital.20 The project included all inpatients aged 60 and above undergoing non-cardiac, non-intracranial surgery with an admission date from 1

[ad_1] Abstract Study objectives Describe the implementation of an interoperable solution to support pharmacogenomic-guided prescribing in primary care in the National Health Service, England. Methods We used an iterative approach to software development going through clinical workflow mapping, architecture design and development, and pilot-testing. Results We configured a commercial health data management platform to store

[ad_1] Materials and methods Our entire research was AI-based, using the capabilities and sage advice from ChatGPT (OpenAI, model 4o). The AI engine used Python programming language to construct scripts for all data collection and statistical analysis. These scripts were deployed through ChatGPT’s interface, using Google Colab or locally. The code will be uploaded to

[ad_1] A summary of all successes and lessons learnt is given in box 1. The Citrien-2 programme focused on TM rather than specific solutions, encouraging a flexible approach to customised solutions at each UMC. As one of the steering group members stated: Box 1 Overview of successes and lessons learnt from the inventory Orientation Successes

[ad_1] Abstract Objective The aim of this study was to assess how different groups of health professionals evaluated the usability of a new electronic health record (EHR) and to investigate the association between the usability and burnout, insomnia and turnover intention. Methods This cross-sectional study included 1424 health professionals who worked at a Norwegian University

[ad_1] Abstract Objective The aim of this study was to assess how different groups of health professionals evaluated the usability of a new electronic health record (EHR) and to investigate the association between the usability and burnout, insomnia and turnover intention. Methods This cross-sectional study included 1424 health professionals who worked at a Norwegian University

[ad_1] Abstract Background Chronic kidney disease (CKD) is a global health concern characterised by irreversible renal damage that is often assessed using invasive renal biopsy. Accurate evaluation of interstitial fibrosis and tubular atrophy (IFTA) is crucial for CKD management. This study aimed to leverage machine learning (ML) models to predict IFTA using a combination of

[ad_1] Abstract Background Chronic kidney disease (CKD) is a global health concern characterised by irreversible renal damage that is often assessed using invasive renal biopsy. Accurate evaluation of interstitial fibrosis and tubular atrophy (IFTA) is crucial for CKD management. This study aimed to leverage machine learning (ML) models to predict IFTA using a combination of

[ad_1] Three areas transforming how we use data in healthcare, learning health systems (LHSs), artificial intelligence (AI) and predictive analytics, are enhancing the quality, efficiency and personalisation of care. By leveraging data from everyday clinical practice, LHSs create a feedback loop where new knowledge is constantly generated and applied, ensuring best practices are embedded in

[ad_1] Discussion For the first time, we show that MMT-associated biomarkers are relevant for prediction of PD drop-out: MMP-2, TN-C, IL-11, PAI-1, PSTN, VEGF-A, COL-13, CDH-13, TSP-1, BMP-7, IL-6, FAP and IL-33. Interestingly, immunoassays have different detection ranges, and robust predictions are tied to those.8 All biomarkers had proper NMIFS and SHAP values, indicating that

[ad_1] Naga food available at Nagaland House in Delhi | Photo Credit: SPECIAL ARRANGEMENT Birthday lunches tend to be heavy affairs — full of special dishes cooked in elaborate ways. And that is why I remember in particular a birthday meal with a very simple menu hosted by a friend many years ago. She had

[ad_1] Discussion For the first time, we show that MMT-associated biomarkers are relevant for prediction of PD drop-out: MMP-2, TN-C, IL-11, PAI-1, PSTN, VEGF-A, COL-13, CDH-13, TSP-1, BMP-7, IL-6, FAP and IL-33. Interestingly, immunoassays have different detection ranges, and robust predictions are tied to those.8 All biomarkers had proper NMIFS and SHAP values, indicating that

[ad_1] Abstract Objective The study aimed to evaluate the top large language models (LLMs) in validated medical knowledge tests in Portuguese. Methods This study compared 31 LLMs in the context of solving the national Brazilian medical examination test. The research compared the performance of 23 open-source and 8 proprietary models across 399 multiple-choice questions. Results

[ad_1] Discussion Existing literature supports the idea that artificial intelligence (AI) can improve the clarity and comprehensibility of complex documents. Studies have shown that AI-driven tools are able to modify information to better match the reading capabilities and health literacy levels of different populations, even improving health literacy levels themselves, which is critical in medical

[ad_1] Heavy demand: Jannathul Firdous, a home-baker, conducts Bento cake workshops. | Photo Credit: B. Jothi Ramalingam It is undeniable that the younger population of Chennai has wrapped the Pinterest aesthetic around them in full force. From the drip of their outfits to cafe-hopping, the aesthetic consumption has seeped into their core. And this is

[ad_1] When four of Chennai’s leading club tennis players Vikram Seshasayee, Sooraj Viswanathan, G Rajesh and B Venkteshwar met up in November 2024, it was not to discuss tennis. The four of them were in final discussions about putting up Chennai Picklersss by Sports Den, a state of the art indoor Pickleball facility at Porur

[ad_1] A fitness trainer at a gymnasium in Thiruvananthapuram. | Photo Credit: Nirmal Harindran Thiruvananthapuram’s rapidly growing network of upscale health clubs is emerging as a youngster’s mecca for employment. Hundreds of youth from struggling working-class families with an affinity for bodybuilding are becoming certified physical trainers to cash in on the fitness fad. Most

[ad_1] Abstract Introduction This protocol outlines a mixed methods study evaluating a new Digital Coordination Centre (DCC) at the Royal Melbourne Hospital (RMH), Melbourne, Australia. While coordination centres show potential for impact, evidence on effective implementation in the Australian context remains scarce. This study aims to address this gap. Methods and analysis The evaluation involves

[ad_1] Discussion We implemented and evaluated two regression-based approaches to predicting COVID-19 bed occupancy across acute hospitals in NWL during the pandemic’s third (Delta variant) and fourth (Omicron variant) waves. Both models were based on the hypothesis of a stable linear relationship between unvaccinated cases in the community and occupied acute beds several days later.

[ad_1] Over the last two decades, the biodesign process1 has inspired a multitude of innovations in medical devices and digital health,2 benefiting millions of patients.3 Building on this foundation, a concept exploration and testing framework for machine learning medical devices based on biodesign principles has also been proposed.4 Nevertheless, traditional biodesign and biomedical innovation are

[ad_1] Discussion The analysis of Facebook posts from various health organisations over 6 months provided critical insights into how these institutions communicate about diabetes. Of the 4507 posts collected, 11.47% (n=517) were specifically related to diabetes. The most common format was text with pictures, followed by text with videos. Our findings revealed significant differences in the

[ad_1] Introduction Low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) are the major risk factors contributing to the development of atherosclerotic cardiovascular disease (ASCVD), which can ultimately result in premature disability and mortality. An epidemiological study quantifying the association between exposure to LDL-C and ASCVD translated a lifetime cumulative exposure to LDL-C of 5000

[ad_1] Discussion This study presents ConciliaMed, an intuitive and easy-to-use e-MedRec tool designed as both a mobile app and a website for healthcare professionals. The app allows users to perform the MedRec process with the support of four interactive modules integrated into the tool, as well as to evaluate the usability and satisfaction with the

[ad_1] Abstract Objectives Barcode medication administration (BCMA) systems may improve patient safety with successful integration and use. This study aimed to explore the barriers and enablers for the successful use of a BCMA system by examining the patterns of medication and patient scanning over time and potential safety implications. Methods Retrospective longitudinal study informed by

[ad_1] Methodology We analysed publicly accessible data from users posting about loneliness. Figure 1 illustrates our data analysis process using information collected from Twitter. As a social media platform, Twitter facilitates connectivity and opinion sharing, allowing users to post short messages up to 280 characters. Developers can access user data through Twitter’s publicly available API.

[ad_1] Introduction Recurrent stroke is common among stroke survivors. According to a recent report, in China, nearly half (44%) of stroke survivors experience a recurrent stroke and are re-admitted to hospital within 5 years after an initial event.1 Percentages are similar in the USA (43%)2 and the UK (26%).3 Stroke survivors usually encounter a range

[ad_1] Discussion Even though the crucial role of data in clinical practice, healthcare research and quality assessment cannot be questioned, data collection from medical records is a time-consuming and error-prone task that may shift physician time allocation away from direct patient care.1–3 Automating these tasks with the use of LLMs can help unburden physicians from

[ad_1] Discussion Even though the crucial role of data in clinical practice, healthcare research and quality assessment cannot be questioned, data collection from medical records is a time-consuming and error-prone task that may shift physician time allocation away from direct patient care.1–3 Automating these tasks with the use of LLMs can help unburden physicians from

[ad_1] Introduction The National Health Service currently uses predictive tools to help decide how to treat patients.1 Awareness of the concept and use of predictive models in healthcare have been increasing in the media during the last decade.2 Such predictive tools hold the promise of potentially being able to predict our future health needs, including

[ad_1] Methods Definitions An outcome is a health condition or state such as new onset of: diabetes, hypertension or cancer. A time at risk is a period of time relative to an index date, for example, if the index date is a fixed calendar date such as 1 January 2019, then a time at risk

[ad_1] Summary of findings The case studies that we have explored described both the opportunities and challenges of using routine data in applied and implementation research. A key strength was the convenience of collecting data for effectiveness outcomes, health economic assessment and process evaluation, in one data extraction. Crucially for implementation research, routine data can

[ad_1] Both workshops ran for around 2.5 hours, with the focus groups taking up 1.5 hours of this time. A total of 16 consumers (18% of those invited) participated in the workshops (workshop 1=7 participants; workshop 2=9 participants). Participants were aged between 62 and 83 years, with an equal mix of genders (8 women and 8 men), and

[ad_1] The rapid development of generative artificial intelligence (GenAI), particularly large language models (LLMs) like GPT-4, is reshaping healthcare. Built on transformer architectures and trained with extensive datasets, these models are not only accurate but also highly adaptable to various healthcare applications.1 In the medical field, LLMs are showing promise in automating diagnostic support, improving

[ad_1] Uematsu H, et al. Development of a scoring system to quantify errors from semantic characteristics in incident reports. (BMJ Health & Care Informatics 2024;31(1):e100935). The authors have discovered an error in the text and one of the figures. This error is in the calculation of the group error score and may affect the interpretation

[ad_1] The Christmas goodies for the season | Photo Credit: Special Arrangement Pumpkin Tales The team at Pumpkin Tales has curated a wide range of Christmas goodies for the season. They offer assorted cookie boxes (₹550, four pieces) that feature an assortment of Christmas-themed cookies; an assorted cupcake box (₹500) with flavors such as coffee,

[ad_1] Discussion This study depicted the sustainable engagement feasibility for a 12-month telemedical management with wearable equipment to optimise self-management of CHD. This study resulted in a modest reduction of the incidence of hospitalisation and MACEs. Such effect appeared to be mainly attributed to a significant reduction in the secondary outcomes. Moreover, long-term care for

[ad_1] Abstract Objective To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals. Methods The context was public hospitals (n=114) and health services (n=16) in a large state in Australia serving a population of ~5 million. We conducted a participatory action research study with multidisciplinary healthcare professionals, managers, data

[ad_1] Methods and analysis Reporting of the review findings will be in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 updated guidance and exemplars for reporting systematic reviews.8 The protocol was registered in the PROSPERO registry. One change has been made to the project title from ‘artificial intelligence-driven conversational agents’

[ad_1] Methods Randomised paediatric patients between the ages of 2 and 15 years who presented to the Children’s emergency at our tertiary general hospital from November 2022 to February 2023 and had limb or pelvic radiographs taken were included in the study. The data were retrospectively collected (figure 1). Based on a local population trends

[ad_1] Evolution of the stress tests While MAIs are constantly improving, stress tests and the data reserve should also evolve. The stress test administrators should maintain a record on the test results, especially tracking the cases that are incorrectly analysed by MAIs. In addition, for administrators to double-check the ground truth of such cases, it

[ad_1] Discussion This study has demonstrated the effectiveness of modern deep learning for clinical decision support. Evaluating transformer-based techniques against classical methods showed free-text in EHR contains untapped predictive information that can augment decision support tools. Evaluating on temporal splits captured repeat attendees, reflecting clinical reality,23 though similar performance was demonstrated when removing repeat patients.

[ad_1] Machine learning operations (MLOps), a discipline concerned with the production, monitoring and maintenance of artificial intelligence (AI) and machine learning (ML) models at scale, applied in healthcare can facilitate the transition of AI/ML-enabled healthcare tools from research to sustainable deployment.1–3 Adherence to MLOps best practices can address persistent challenges with AI/ML tools deployed into

[ad_1] Discussion The unintended consequences of health IT, including TREs, have been recognised for over two decades.12 13 Addressing TREs is a key component of CPOE optimisation.11 18 The TREM classification reported in this paper provides a systematic means to understand how technology-related prescribing errors occur, allowing targeted CPOE modifications to be made. The classification

[ad_1] Abstract Background The early detection of hypertension using simple visual images in a way that does not require physical interaction or additional devices may improve quality of care in the era of telemedicine. Pharyngeal images include vascular morphological information and may therefore be useful for identifying hypertension. Objectives This study sought to develop a

[ad_1] Active at night: The area is home to IT companies and start-ups. Many of their employees step out for a snack at night. | Photo Credit: Sangeetha Kandavel V.M. Food Street on Old Mahabalipuram Road (OMR) has emerged as a vibrant night destination for college students, information technology professionals, and food enthusiasts. With an