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Mashup Score: 0Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only - 10 month(s) ago
Introduction In January, the National Institutes of Health (NIH) implemented a Data Management and Sharing Policy aiming to leverage data collected during NIH-funded research. The COVID-19 pandemic illustrated that this practice is equally vital for augmenting patient research. In addition, data sharing acts as a necessary safeguard against the introduction of analytical biases. While the…
Source: BMJ Health & Care InformaticsCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 1Moving from non-emergency bleeps and long-range pagers to a hospital-wide, EHR-integrated secure messaging system: an implementer report - 12 month(s) ago
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…
Source: BMJ Health & Care InformaticsCategories: Cardiologists, Latest HeadlinesTweet-
RT @jdcamcolorectal: Maybe not all doctors @mrnigeldsouza 🤔 https://t.co/A7nu7NAri7 https://t.co/sRiJ2Dl6hS
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Mashup Score: 8Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis - 1 year(s) ago
Objectives The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public’s use of online outlets for health-related emotions. People have turned to social media networks to share sentiments related to the impacts of the COVID-19 pandemic. In this paper, we examine the role of social messaging shared by Persons in the Public Eye (ie, athletes,…
Source: BMJ Health & Care InformaticsCategories: Healthcare Professionals, Latest HeadlinesTweet-
Exploring celebrity influence on public attitude towards the COVID-19 https://t.co/5LeA9GEXFO "...public sentiment shared on social networks was shaped by risk perceptions, political ideologies and health-protective behaviours shared by [celebrities], often in a negative light." https://t.co/kkwMNRSV01
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Mashup Score: 2Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis - 1 year(s) ago
Objectives The COVID-19 pandemic has introduced new opportunities for health communication, including an increase in the public’s use of online outlets for health-related emotions. People have turned to social media networks to share sentiments related to the impacts of the COVID-19 pandemic. In this paper, we examine the role of social messaging shared by Persons in the Public Eye (ie, athletes,…
Source: BMJ Health & Care InformaticsCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Celebrity tweets likely shaped US negative public opinion of COVID-19 pandemic And posts by politicians and news anchors had greatest impact, suggests analysis in @BMJ_HCI 🔗 https://t.co/xUGsB5HUS5 📖 #covid #socialmedia https://t.co/Ki9jahMzcx
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Mashup Score: 1Keep it simple: designing a user-centred digital information system to support chronic disease management in low/middle-income countries - 1 year(s) ago
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…
Source: BMJ Health & Care InformaticsCategories: Healthcare Professionals, Latest HeadlinesTweet-
Digital tools focused on simplicity, speed, and scale can greatly help countries treat patients with hypertension. In @BMJ_HCI, our team highlights very important lessons from the revolutionary Simple app. https://t.co/uj8FmHQhmg
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Mashup Score: 7Early detection of autism spectrum disorder in young children with machine learning using medical claims data - 2 year(s) ago
Objectives Early diagnosis and intervention are keys for improving long-term outcomes of children with autism spectrum disorder (ASD). However, existing screening tools have shown insufficient accuracy. Our objective is to predict the risk of ASD in young children between 18 months and 30 months based on their medical histories using real-world health claims data. Methods Using the MarketScan…
Source: BMJ Health & Care InformaticsCategories: General Medicine News, Latest HeadlinesTweet-
Medical history may help predict #autism in #youngchildren, researchers find @penn_state https://t.co/xVbkMsfiOb https://t.co/HogtCN1QKw
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Mashup Score: 3Software development skills for health data researchers - 2 year(s) ago
Health data researchers are increasingly required to develop complex analytic code in order to implement sophisticated analyses on large health datasets. While writing analysis scripts ([box 1][1]) for academic projects is distinct from general purpose software development, they share many of the
Source: BMJ Health & Care InformaticsCategories: Future of Medicine, Latest HeadlinesTweet-
🚨NEW PAPER ALERT 🚨 Published today: https://t.co/ln3gHR4ZV2 "Software Dev Skills for Health Data Researchers" Picking up on some of the themes in the @bengoldacre & Gov RAP strategy we how health data researchers/analysts can benefit from the practices of software development
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Mashup Score: 14Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation - 2 year(s) ago
Objectives The American College of Cardiology and the American Heart Association guidelines on primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend using 10-year ASCVD risk estimation models to initiate statin treatment. For guideline-concordant decision-making, risk estimates need to be calibrated. However, existing models are often miscalibrated for race, ethnicity and…
Source: BMJ Health & Care InformaticsCategories: General Medicine News, Latest HeadlinesTweet-
Ensuring the fairness of algorithms that predict patient disease risk https://t.co/h9qV54O2q9 https://t.co/X2uW4FHi9O
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Mashup Score: 0Operationalising fairness in medical algorithms - 2 year(s) ago
The world is abuzz with applications of machine learning and data science in almost every field: commerce, transportation, banking, and more recently, healthcare. Breakthroughs in these areas are a result of newly created algorithms, improved computing power and, most importantly, the availability
Source: BMJ Health & Care InformaticsCategories: Critical Care, Latest HeadlinesTweet-
Read the BMJ Health & Care Informatics special issue on operationalising fairness in medical algorithms: https://t.co/njEjDJ6o4r https://t.co/KBvVGHfRTE
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Mashup Score: 5Reliability of COVID-19 symptom checkers as national triage tools: an international case comparison study - 3 year(s) ago
Objectives Triage is a critical component of the pandemic response. It affects morbidity, mortality and how effectively the available healthcare resources are used. In a number of nations the pandemic has sponsored the adoption of novel, online, patient-led triage systems—often referred to as COVID-19 symptom checkers. The current safety and reliability of these new automated triage systems…
Source: BMJ Health & Care InformaticsCategories: Healthcare Professionals, Latest HeadlinesTweet-
"The COVID-19 symptom checkers analysed here were unable to reliably discriminate between mild and severe COVID-19." New from @danielgoyal and team! https://t.co/1YtoibjQ83
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Typically, only students of the richest universities are able to access and publish off these datasets. Check out our newest article here: https://t.co/Yt5SnoxheI