Health & Care

[ad_1] Results We submitted 1 036 449 people to NDI. Follow-up time from the date of last contact was 1–13 years with a median of 6 years and average of 6.3 years. However, since we had 69% missing self-reported race and ethnicity (online supplemental table 1), we imputed race and ethnicity resulting in populations that were 9% […]

[ad_1] Discussion This scoping review identified 25 articles assessing clinical e-consenting applications. We sought to understand the dimensions by which these publications characterised or evaluated clinical e-consent. We found that publications most commonly focused on the impact of electronic processes on consent data quality and patients’ experiences, with lesser attention paid to providers’ experiences, adoption,

[ad_1] The search strategy identified a total of 921 records; after duplicate removal and title and abstract screening, 114 full-text studies were retrieved, of which 3916–54 met the selection criteria for inclusion in the final analysis (figure 2). Study characteristics Study characteristics are summarised in online supplemental table 1. Studies originated from the USA (n=12),17

[ad_1] With the widespread adoption of mobile technologies, including in the developing world, there has been enthusiastic exploration of ways that such devices can support care delivery and management in a wide variety of settings. mHealth was accordingly introduced as a general term for the use of such devices, and especially mobile phones, to support

[ad_1] Discussion In this study, we assessed the performance of ChatGPT, an AI-based language model, in providing treatment recommendations for glioma patients. To the best of our knowledge, this is the first study aiming to evaluate this novel chatbot within the framework of CNS tumour multidisciplinary decision-making. While ChatGPT demonstrated proficiency in accurately identifying cases

[ad_1] Discussion In this data-driven quantitative analysis, quality measures varied in their existence, value and distribution, even after normalisation, and provided no consistent insights across different integration analyses. In other words, we could not integrate quality measures to describe how the underlying quality constructs of interest—ICU visits, ED visits, palliative care use, lack of hospice,

[ad_1] Discussion In this study, we assessed the performance of ChatGPT, an AI-based language model, in providing treatment recommendations for glioma patients. To the best of our knowledge, this is the first study aiming to evaluate this novel chatbot within the framework of CNS tumour multidisciplinary decision-making. While ChatGPT demonstrated proficiency in accurately identifying cases

[ad_1] Abstract Background The assessment of language and cognition in children at risk of impaired neurodevelopment following neonatal care is a UK standard of care but there is no national, systematic approach for obtaining these data. To overcome these challenges, we developed and evaluated a digital version of a validated parent questionnaire to assess cognitive

[ad_1] Introduction The British standard ‘BS30440: Validation Framework for the Use of AI in Healthcare’ will be published in the second quarter of 2023.1 It details the evidence required by technology developers to assess and validate products using artificial intelligence (AI) in healthcare settings. Healthcare providers can mandate that their suppliers’ products be certified against

[ad_1] Introduction The British standard ‘BS30440: Validation Framework for the Use of AI in Healthcare’ will be published in the second quarter of 2023.1 It details the evidence required by technology developers to assess and validate products using artificial intelligence (AI) in healthcare settings. Healthcare providers can mandate that their suppliers’ products be certified against

[ad_1] AI arrogance and ignorance The current system means that the risk for sharing one’s data is high, with little personal gain. Despite the fact these risks are real to the institution, the failure to disclose data does not eliminate the risk; it merely transfers the risk from the institution to the patients being treated

[ad_1] AI arrogance and ignorance The current system means that the risk for sharing one’s data is high, with little personal gain. Despite the fact these risks are real to the institution, the failure to disclose data does not eliminate the risk; it merely transfers the risk from the institution to the patients being treated

[ad_1] Characteristics of newspaper stories, original studies and subsequent studies Figure 1 illustrates the details of the search. The eight newspapers selected were the New York Times (USA, quality), Washington Post (USA, quality), Daily Telegraph (UK, quality), Times (UK, quality), USA Today (USA, non-quality), Daily News (USA, non-quality), Daily Mail (UK, non-quality) and Daily Mirror

[ad_1] Discussion The concept of mirror study has proven to be an effective method for validation of a novel technology to support data collection, in a relevant context of use: different EHRs, investigation sites, sponsors and studies. The primary objective of the study was successfully met, with over 15% (16.9%) of the data points entered

[ad_1] With digital health’s potential to transform healthcare delivery, Australia is investing significantly to improve healthcare quality and efficiency.1 Investment is guided by national and global strategies, developed by the Australian Digital Health Agency1 and the WHO,2 respectively. The WHO strategy aims to promote the use of digital technologies to improve health outcomes and reduce

[ad_1] Status of EHR adoption, challenges and opportunities in LICs This review aims to examine the status, challenges and opportunities of adopting EHR systems to enhance the quality of healthcare delivery in LICs. In most LICs, donors provide support to establish EHR systems, which usually fail for many reasons. For example, in Ethiopia, the Smart

[ad_1] Status of EHR adoption, challenges and opportunities in LICs This review aims to examine the status, challenges and opportunities of adopting EHR systems to enhance the quality of healthcare delivery in LICs. In most LICs, donors provide support to establish EHR systems, which usually fail for many reasons. For example, in Ethiopia, the Smart

[ad_1] Discussion In this study we examined sociodemographic differences in preference for healthcare AI using a large weighted Australian sample that was calibrated to the LIA probability sample using a range of behavioural and lifestyle questions, as well as major sociodemographic variables. Overall, 56.7% (95% CI 53.8%–59.0%) of the participants were supportive of the development

[ad_1] Working with noise in the data is one of the challenges when dealing with free-text formatted input data. Filtering the input sentences and selecting more informative ones work as a solution to reduce the noise in the data when dealing with free-text categorisation of CFs. Finding a balance between removing the noise and keeping

[ad_1] Discussion The purpose of this study was to assess willingness of patients with DM to use mobile health applications and associated factors for self-care management. The result showed that willingness to use mHealth applications among patients with DM in the Oromia region was high (71.4%, 95% CI (66.8% to 75.9%)). This result was in line

[ad_1] Discussion The purpose of this study was to assess willingness of patients with DM to use mobile health applications and associated factors for self-care management. The result showed that willingness to use mHealth applications among patients with DM in the Oromia region was high (71.4%, 95% CI (66.8% to 75.9%)). This result was in line

[ad_1] Discussion In this study, we have investigated Swedish breast radiologists’ views on the use of AI in mammography screening. The respondents were, to a large extent, positive towards the integration of AI in screen reading, especially those having difficulties finding the time to perform screen-reading. This could explain the slightly more positive attitude, compared

[ad_1] Discussion The majority of Trusts responding reported having an EPR and over 20 different providers were identified as operational in NHS Trusts in England. Three-quarters of digital Trusts responded that they had a DSA and most these use NEWS2 as part of their sepsis alerting system. This is the approach included in the NHS

[ad_1] Discussion The majority of Trusts responding reported having an EPR and over 20 different providers were identified as operational in NHS Trusts in England. Three-quarters of digital Trusts responded that they had a DSA and most these use NEWS2 as part of their sepsis alerting system. This is the approach included in the NHS

[ad_1] Two BMJ Health & Care Informatics editors’ choice papers present insights based on case studies from real-world data and machine learning models for clinical risk prediction use cases. Seneviratne et al focus on case management to demonstrate how one might implement their proposed user-centred design toolkit consisting of process maps, storyboards and four questions.1

[ad_1] Discussion To the best of our knowledge, this is the first scoping review which attempts to identify the characteristics of studies in which different types of CDSSs were used to effectively support clinical decision in different settings. Previous scoping reviews have focused on CDSSs for medication review, rare-disease diagnosis, non-knowledge-based clinical decision support tools

[ad_1] Discussion For this study, 2016 EDHS data were used that was accessed from the DHS website. Through request, permission was obtained to access the data. There are no attributes that uniquely identify individuals’ women or household addresses in the data files. This is because the geographical coordinate files are randomly displaced within a large

[ad_1] Discussion We evaluated a range of text classifiers, achieving the highest F1 score on the test set of 0.51 for conventional BERT, with recall at 56% and precision at 55%, substantially better than n-gram-based classifiers (objective 1). This classifier was trained on medical code descriptions, which outperformed standard supervision with a training set of

[ad_1] Abstract Introduction Obsolete bleep/long-range pager equipment remains firmly embedded in the National Health Service (NHS). Objective To introduce a secure, chart-integrated messaging system (Epic Secure Chat) in a large NHS tertiary referral centre to replace non-emergency bleeps/long-range pagers. Methods The system was socialised in the months before go-live. Operational readiness was overseen by an

[ad_1] Discussion The proposed algorithm applied to the CCR Nutrition database, which is a multicente case–control study conducted in a population of 1496 pairs of Moroccan subjects with and without CRC, identified 2 dietary profiles associated with CRC: the ‘dangerous pattern’ and the ‘prudent profile’. The ‘dangerous pattern’ was characterised by a high consumption of

[ad_1] Results The optimised HURT model had a final test AUROC of 84% (95% CI 83.4% to 84.9%), while HLCC had an AUROC of 71% (95% CI 69.4% to 71.8%) (figure 1). The difference between HURT and HLCC ROC was statistically significant with Z=−22.6, p<0.001 (Delong test). ROC test performance of HLCC and HURT models

[ad_1] Introduction The health information gathered from sources at the facility and population level influences the quality of healthcare policy formulation, programme planning, monitoring, and evaluation, and healthcare service delivery as a whole.1 2 Alternatively, facility-level data sources can sometimes be referred to as ‘routine health information data sources’, whereas population-level data sources are known

[ad_1] Results From the four units involved, data were acquired from 368 patients (table 2). Patient records used in data analysis Data from 40 type 1 (typical) patients were easily collected from each unit. Of the other types, amount collected from units over the maximum 4-year time period varied. Survival plots for patient types are

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[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

[ad_1] Discussion In this systematic review, original studies focused on SMS-based medical and health service appointment reminders for any Mhealth intervention among patients, mothers or other parental figures of children across African regions were included for review. Accordingly, 9 out of the 955 searched studies were included and reviewed. A total of 11 barriers have

[ad_1] Results Table 1 summarises the hospital facility value and functional focus of each of the eight use cases reported. Table 1 View inline•Open as popup Use cases of IAM technology deployed in hospital COVID-19 response by value and functional focus SSO enabled clinicians to attest being symptom free at shift start During an outbreak

[ad_1] Abstract Objective To describe the frequency of the different types of harmful medication related incidents reported from one NHS Trust. To then assess whether the likelihood of these incidents occurring would have been reduced by a specific ePMA system, Nervecentre. Methods Two researchers retrospectively reviewed 387 medication related incidents reported to DATIX, a national

[ad_1] Abstract Objective The Management and Supervision Tool (MaST) helps NHS mental health care professionals identify patients who are most likely to need psychiatric hospital admission or home treatment, due to severe mental illness, through a Risk of Crisis (RoC) algorithm driven by electronic health record (EHR) data analytics. MaST improves the efficiency of caseload

[ad_1] Abstract Objective There is increasing interest in remote monitoring of patients within the comfort and safety of their homes or care homes and became more pertinent during the COVID-19 pandemic to reduce hospital footfall and staff risk. While specifically designed medical devices exist, commercial wearable activity trackers (WAT), such as FitBits, are cheap, easy

[ad_1] Abstract Objective To set up and establish a sustainable telemedicine model to deliver cataract care pathway, where the traditional face-to-face cataract assessment clinic is replaced with a telemedicine consult with imaging technology to develop a safe, efficient telemedicine care delivery model in contrast to the current established traditional face-to-face pathways. To study the efficacy,

[ad_1] SNOMED CT database successfully set up: Combination of experimentation, outdated advice found in grey literature, informal help from terminology expert colleague Legacy codelists: Found 350 in multiple formats, little or no provenance or definition, idiosyncratic naming. All translated in batch via cross mapping tables. Resulting outputs used as substrate for full curation. Only 154

[ad_1] Abstract Objective Digital technology is transforming health and social care. Digital technologies, which includes smartphones and wearables, can be used to predict, diagnose, monitor, and/or develop treatments for different diseases. These technologies also have the potential to detect markers of neurodegenerative diseases at a much early stage than is currently possible. The Early Detection

[ad_1] Abstract Objective Digital health (DH) is the integration of technologies to tackle challenges in healthcare. Its applications include mobile health, remote & wireless healthcare, artificial intelligence, and robotics. Digital technologies are increasingly being used to deliver routine care, whilst simultaneously patients are increasing their uptake of DH solutions (e.g. wearables). With the adoption of

[ad_1] Abstract Objective Integrating technological innovation in clinical big data from Nine Health Global (NHG) and data science Woubot is a prototype precognitive system for community & wound clinics. Focusing on leg ulcers, Woubot will produce recommendations from several thousand possible treatment combinations. Working with suppliers to the National Wound Care Strategy Programme, the project

[ad_1] Abstract Objective Artificial intelligence (AI) predictive tools can help inform the clinical decision-making process by, for example, detecting early signs of patient deterioration or predicting the likelihood of a patient developing a particular disease or complications postsurgery. However, it is unclear how acceptable or useful clinicians find these tools in practice. This project aims

[ad_1] Abstract Objective Electronic observations incorporating ePAWS (Paediatric Advanced Warning Score) was developed as a bespoke functionality within the EHR for implementation across the Children’s Hospital. ePAWS supports the identification of patients at risk of deterioration using a graded response strategy. To promote effective working, the functionality enables observations to be recorded via mobile device

[ad_1] Abstract Objective With over 50 acute medical referrals per day at Royal Bolton Hospital, an efficient and safe acute medical take process is crucial to maintain high standards of clinical care. The existing process involved multiple non-communicating patient lists to track referrals. It also relied on manual data entry – resulting in patients being

[ad_1] Abstract Objective Incomplete incident reporting is concerning. England’s Mental Health Units Use of Force Act 2018 (Seni’s Law), responding to deaths and incomplete reporting, will mandate central restraint reporting per-person including ethnicity. ‘L’ is a proposed test for disinformation, i.e. ‘false surprise’ regarding true reports. Information, or ‘surprise’, is measurable as H = -log(p)

[ad_1] Abstract Objective There is a lack of national occupational therapy impact data and occupational therapists report challenges collecting, using, and sharing information as part of professional practice. All occupational therapists need a firm grasp of data, but little is known about how confident occupational therapists feel working with data at different points in their

[ad_1] Abstract Objective How consistent is the recording of allergy documentation across multiple electronic systems in patients presenting to the emergency departments of a large UK tertiary trust? Over 20% of the UK population are affected by one or more allergic disorders (1) and there has been shown to be a 615% increase in the

[ad_1] Abstract Objective Electronic prescribing systems often provide a drop-down list of medications and pre-specified reactions to record a patient’s allergy status. This list is non-exhaustive; less common reaction types require the user to add a free text note. The Careflow Medicines Management EPMA system provides decision support preventing a prescriber initiating a drug a

[ad_1] Abstract Objective It has been recognised that the Covid -19 pandemic positively accelerated digital adoption (Greenway et al., 2021; Issa, 2020). However, rapid deployments of technology do not often assess and understand patient safety risks; resulting in harm, which have ethical and legal considerations (HEE, 2019). The NHS has received caution of the potential

[ad_1] Abstract Objective Excessive prescription of antibiotics is amongst the principal drivers of antibiotic resistance, which is considered a surging threat to global health. The most frequent resistant pathogens are usually linked with urinary tract diseases, such as urinary tract infections (UTI). Studies have shown that clinicians may prescribe antibiotics based on presenting symptoms due

[ad_1] Abstract Objective Clinical decision supports (CDS) in electronic medication order systems identify alerts for clinicians. However, CDS may cause alert fatigue, which is the tendency for clinicians to ignore prompts presented by CDS due to excessive numbers and/or their perceived limited clinical significance. Alert fatigue may increase the risk of missing clinically relevant alerts.

[ad_1] Abstract Objectives Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical pain point. Methods We introduce a practical toolkit for user-centred design consisting of four questions covering:

[ad_1] Abstract Introduction Researchers are increasingly developing algorithms that impact patient care, but algorithms must also be implemented in practice to improve quality and safety. Objective We worked with clinical operations personnel at two US health systems to implement algorithms to proactively identify patients without timely follow-up of abnormal test results that warrant diagnostic evaluation

[ad_1] Discussion Systematic safety assessment of AI-based clinical decision support systems is poorly codified, especially in applications where the definition of effective and safe decisions is challenging. In this study, we applied best practice in safety assurance to a complex AI system and proposed a safety-driven approach to identify regions of the action space potentially