[ad_1] Early risers and morning joggers along the ECR are used to a fluorescent green helmet gliding down every day at 4am. Wearing it is Priya D, a member of WCCG (Chennai Cycling Group started by Divagaran Thiyagarajan), who cycles every morning down that stretch to the music of Sia’s ‘Unstoppable’ playing from the speaker attached to the cycle. Of

[ad_1] A panoramic image of the Old Course at St. Andrew’s, Scotland is plastered across the putting green | Photo Credit: Preethi Ajit As the golf ball rolls, its pace resembles the slow inertia of the sport. Usually played over four days, golf has not quite qualified as a sport that animates people when broadcast. But this mini golf arena in

[ad_1] Discussion This study of a large population of NHS patients with HF demonstrates that, across a 6-year period, index diagnosis was predominantly through hospital admission. In a PSM cohort, index diagnosis of HF via hospital versus community pathway was associated with an increased rate of death in the first 24 months, with no difference between groups by 72 months.

[ad_1] Traditionally, many undergraduate healthcare students are taught that ‘80% of the diagnosis is in the history’,1 and that to formulate a plan, they should take a history, examine the patient and make a working diagnosis. In reality, many clues to diagnosis and management may already be in the electronic health record (EHR). In primary care, reception staff usually indicate

[ad_1] Introduction Over the past decades, a variety of eHealth technologies have been accessible as nations have implemented eHealth efforts to support the objectives for health education and person-centred care.1 Adoption of personal health records (PHRs) has been linked to numerous advantages, including improved patient–provider relationships, patient engagement improvements, better medication adherence, good health outcomes (such as blood pressure and

[ad_1] Introduction Over the past decades, a variety of eHealth technologies have been accessible as nations have implemented eHealth efforts to support the objectives for health education and person-centred care.1 Adoption of personal health records (PHRs) has been linked to numerous advantages, including improved patient–provider relationships, patient engagement improvements, better medication adherence, good health outcomes (such as blood pressure and

[ad_1] Introduction Healthcare systems worldwide are implementing ICT to improve access to healthcare and the effectiveness and efficiency of health systems.1 Electronic medical record (EMR) systems are used in many countries’ healthcare systems. An EMR is a computer-based system that collects and stores a person’s medical information.2 3 EMR systems can collect longitudinal data from patients, retrieve patient history and

[ad_1] Method and materials Classification algorithms Classification is a form of data analysis that extracts models describing important data classes. Such models, called classifiers, predict categorical class labels. Data classification is a two-step process, consisting of a learning step and a classification step. In the first step, a classifier is built describing a predetermined set of data classes or concepts.

[ad_1] Discussion Our study examined the role of messaging shared by PIPE in determining general public discourse direction and the nature of sentiment shared via social media networks. Drawing on messaging shared by our three subgroups of influential users, findings suggest the presence of consistent patterns of emotional content shared by PIPE for the first 2 years of the COVID-19 pandemic

[ad_1] Telemedicine emerged as a tool to support prevention, diagnosis, treatment and management of infectious diseases in remote and low-income settings with underserved populations1 while the pandemic of COVID-19 has accelerated its adoption.2 Different telemedical models exist in the context of acute care. One peer-to-peer approach involving an interdisciplinary team of healthcare professionals, called the ‘hub-and-spoke model,’ facilitates live audio–video

[ad_1] Telemedicine emerged as a tool to support prevention, diagnosis, treatment and management of infectious diseases in remote and low-income settings with underserved populations1 while the pandemic of COVID-19 has accelerated its adoption.2 Different telemedical models exist in the context of acute care. One peer-to-peer approach involving an interdisciplinary team of healthcare professionals, called the ‘hub-and-spoke model,’ facilitates live audio–video

[ad_1] Introduction In routine healthcare practice, evidence about the care and treatment of patients, progress notes, assessments and care plans,1 laboratory tests and results, medication and drug prescription information, patient education and counselling2 are some of the routine practices of health professionals. Therefore, documenting the health professionals’ routine practices are important for various purposes. Documentation is a standard way of

[ad_1] Implementation project The implemented CPOE system was PANDAWebRx,26 a web application developed by CGSI@SOLUTIONS-TI in collaboration with the hospital project team (one clinical informatics manager and two full-time project managers). A previous usability analysis conducted a month before the implementation revealed the need to optimise the clinical decision support system (CDSS) to identify inappropriate dosing instructions for paediatric patients,27

[ad_1] Abstract Objectives Clinical artificial intelligence and machine learning (ML) face barriers related to implementation and trust. There have been few prospective opportunities to evaluate these concerns. System for High Intensity EvaLuation During Radiotherapy (NCT03775265) was a randomised controlled study demonstrating that ML accurately directed clinical evaluations to reduce acute care during cancer radiotherapy. We characterised subsequent perceptions and barriers

[ad_1] Introduction More and more processes in modern healthcare are digitalised. Looking at current trends (eg, telemedicine, artificial intelligence, medical apps), this level of digitalisation will continue to increase in the coming years. Digitalisation also affects medical technology. Today’s medical devices are designed to exchange data with other medical devices and clinical information systems. Incorporating medical devices into hospital IT

[ad_1] Abstract Objectives We involved public and professional stakeholders to assess a novel data interrogation tool, the Neonatal Health Intelligence Tool, for a National Data Asset, the National Neonatal Research Database. Methods We recruited parents, preterm adults, data managers, clinicians, network managers and researchers (trialists and epidemiologists) for consultations demonstrating a prototype tool and semi-structured discussion. A thematic analysis of

[ad_1] Discussion In this preintervention and postintervention comparative study using SUS data, the findings indicate that introduction of the Bradford Command Centre may have improved patient safety. However, given improvements in mortality have also been observed in the CHH (control site) during the same period, improvements seen in the BRI hospital data may not be entirely due to the command

[ad_1] Abstract Study objective The objective of this study was to evaluate the accuracy of a new elective surgery clinical decision support system, the ‘Patient Tacking List’ (PTL) tool (C2-Ai(c)) through receiver operating characteristic (ROC) analysis. Methods We constructed ROC curves based on risk predictions produced by the tool and compared these with actual patient outcomes on a retrospective cohort

[ad_1] When many men his age struggle to walk without support, Air Marshal P. V. Iyer (retired), goes for a run every morning. At 93, he stands ramrod straight and gives a firm handshake to send across a message. Age is truly just a number in his case. Celebrated Japanese writer Haruki Murakami’s book What I Talk About when I

[ad_1] Abstract Objectives Survival machine learning (ML) has been suggested as a useful approach for forecasting future events, but a growing concern exists that ML models have the potential to cause racial disparities through the data used to train them. This study aims to develop race/ethnicity-specific survival ML models for Hispanic and black women diagnosed with breast cancer to examine

[ad_1] Abstract Objective Implement a user-centred digital health information system to facilitate rapidly and substantially increasing the number of patients treated for hypertension in low/middle-income countries. Methods User-centred design of Simple, an offline-first app for mobile devices to record patient clinical visits and a web-based dashboard to monitor programme performance. Results The Simple mobile application scaled rapidly over the past

[ad_1] Abstract Aims To develop and validate a machine learning (ML) algorithm to identify undiagnosed hepatitis C virus (HCV) patients, in order to facilitate prioritisation of patients for targeted HCV screening. Methods This retrospective study used ambulatory electronic medical records (EMR) from January 2015 to February 2020. A Gradient Boosting Trees algorithm was trained using patient records to predict initial