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Mashup Score: 2
Background Despite wide usage across all areas of medicine, it is uncertain how useful standard reference ranges of laboratory values are for critically ill patients. Objectives The aim of this study is to assess the distributions of standard laboratory measurements in more than 330 selected intensive care units (ICUs) across the USA, Amsterdam, Beijing and Tarragona; compare differences and…
Source: BMJ Health & Care InformaticsCategories: Critical Care, Latest HeadlinesTweet
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Mashup Score: 2
While relatively novel, patient peer review has the potential to change the healthcare publishing paradigm. It can do this by helping researchers enlarge the pool of people who are welcome to read, understand and participate in healthcare research. Academic journals who are early adopters of patient
Source: BMJ Health & Care InformaticsCategories: Hem/Oncs, Latest HeadlinesTweet-
RT @TheLizArmy: @pash22 This tweet’s cousin: how to review a paper! https://t.co/Z29c3t9rsY
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Mashup Score: 0How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices - 3 year(s) ago
Objective To examine how and to what extent medical devices using machine learning (ML) support clinician decision making. Methods We searched for medical devices that were (1) approved by the US Food and Drug Administration (FDA) up till February 2020; (2) intended for use by clinicians; (3) in clinical tasks or decisions and (4) used ML. Descriptive information about the clinical task, device…
Source: BMJ Health & Care InformaticsCategories: Healthcare Professionals, Latest HeadlinesTweet-
Leveraging the benefits of ML algorithms to support clinicians while mitigating risks, requires a solid relationship between clinician and ML-based devices: Such relationships must be carefully designed https://t.co/WnIRtUWNL1 via @David_Lyell & @EnricoCoiera et al @DrMurphy11
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Mashup Score: 0Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study - 3 year(s) ago
Objectives Identifying those individuals requiring medical care is a basic tenet of the pandemic response. Here, we examine the COVID-19 community triage pathways employed by four nations, specifically comparing the safety and efficacy of national online ‘symptom checkers’ used within the triage pathway. Methods A simulation study was conducted on current, nationwide, patient-led symptom…
Source: BMJ Health & Care InformaticsCategories: Healthcare Professionals, Latest HeadlinesTweet-
Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study https://t.co/E2GAjGJrB0 via @FatmaMansab et al @DrMurphy11
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Mashup Score: 6Equity in essence: a call for operationalising fairness in machine learning for healthcare - 3 year(s) ago
Machine learning for healthcare (MLHC) is at the juncture of leaping from the pages of journals and conference proceedings to clinical implementation at the bedside. Succeeding in this endeavour requires the synthesis of insights from both the machine learning and healthcare domains, in order to
Source: BMJ Health & Care InformaticsCategories: Future of Medicine, Latest HeadlinesTweet-
Sharing our work published in @bmj_latest on "Equity in essence: a call for operationalising fairness in machine learning for healthcare" .. We review Fairness in recently piublished guidelines and there is sparse information here https://t.co/pC3ClqgOuV https://t.co/AA3Ddwqaec
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Mashup Score: 3Special Issue | BMJ Health & Care Informatics - 3 year(s) ago
Further information on the upcoming Special Issue on Operationalising Fairness in Medical Algorithms
Source: BMJ Health & Care InformaticsCategories: Future of Medicine, Latest HeadlinesTweet-
If you are working in this space, please consider submission to this special issue on operationalizing fairness - https://t.co/0kY8yf80GF
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Mashup Score: 1Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study - 3 year(s) ago
Objectives Identifying those individuals requiring medical care is a basic tenet of the pandemic response. Here, we examine the COVID-19 community triage pathways employed by four nations, specifically comparing the safety and efficacy of national online ‘symptom checkers’ used within the triage pathway. Methods A simulation study was conducted on current, nationwide, patient-led symptom…
Source: BMJ Health & Care InformaticsCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
Digital COVID-19 ‘symptom checkers’ may stop some patients from getting prompt treatment for serious illness, suggests an international case simulation study, published in @BMJ_HCI https://t.co/27qMI9VaIE
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Mashup Score: 1Ensuring machine learning for healthcare works for all - 4 year(s) ago
Machine learning, data science and artificial intelligence (AI) technology in healthcare (herein collectively referred to as machine learning for healthcare (MLHC)) is positioned to have substantial positive impacts on healthcare, enhancing progress in both the acquisition of healthcare knowledge
Source: BMJ Health & Care InformaticsCategories: Cardiologists, Latest HeadlinesTweet-
RT @BMJ_HCI: Ensuring machine learning for healthcare works for all https://t.co/koblJ9EbdJ
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Mashup Score: 1Special Issue | BMJ Health & Care Informatics - 4 year(s) ago
Further information on the upcoming Special Issue on Operationalising Fairness in Medical Algorithms
Source: BMJ Health & Care InformaticsCategories: Future of Medicine, Latest HeadlinesTweet-
Working or interested in #FAIR AI systems in Real life? Consider submitting your work to the @BMJ_HCI special issue will be co-editing with Drs. Leo Celi, Miguel and Sonali and on "Operationalizing Fairness in medical Algorithms" https://t.co/0kY8yf80GF #ml4h https://t.co/h29vV2pxT8
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Mashup Score: 0
Is artificial intelligence (AI) on track to usurp the electronic health record (EHR) as the most disappointing application of technology within medicine? The medical literature is increasingly populated with perspective pieces lauding the transformative nature of AI and forecasting an unforeseen
Source: BMJ Health & Care InformaticsCategories: Cardiologists, Latest HeadlinesTweet-
I like the focus on designing AI applications for true problems and to integrate into clinical workflow, but the centralization of all AI work feels unnecessarily bureaucratic to me. What do you think? https://t.co/vNIicniz4Y @BJC_HealthCare @WUSTLmed #healthcareinnovationlab
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Standardised reference ranges have limited relevance to ICU patients across a range of geographies. Original research out today: https://t.co/RbyFia9UXp https://t.co/LXdNuqeM15