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Mashup Score: 5Mapping and evaluating national data flows: transparency, privacy, and guiding infrastructural transformation - 5 month(s) ago
The importance of big health data is recognised worldwide. Most UK National Health Service (NHS) care interactions are recorded in electronic health records, resulting in an unmatched potential for population-level datasets. However, policy reviews have highlighted challenges from a complex data-sharing landscape relating to transparency, privacy, and analysis capabilities. In response, we used public information sources to map all electronic patient data flows across England, from providers to more than 460 subsequent academic, commercial, and public data consumers.
Source: www.thelancet.comCategories: General Medicine News, Future of MedicineTweet
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Mashup Score: 4The challenges of research data management in cardiovascular science: a DGK and DZHK position paper—executive summary - 6 month(s) ago
Clinical Research in Cardiology – The sharing and documentation of cardiovascular research data are essential for efficient use and reuse of data, thereby aiding scientific transparency,…
Source: link.springer.comCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0AI healthcare company eyes $160m from cleaning up radiologists’ data - 6 month(s) ago
ASX hopeful Enlitic says it is signing up new healthcare clients to its artificial intelligence technology every month, and has a pipeline of more potential customers.
Source: www.afr.comCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0HLTH23: In the era of AI in healthcare, Microsoft unveils end-to-end data, analytics platform - 6 month(s) ago
In May, Microsoft rolled out Microsoft Fabric, an end-to-end, unified analytics p | Microsoft unveiled industry-specific healthcare solutions in Fabric that will enable organizations to combine data from previously siloed sources and integrate structured and unstructured clinical information along with imaging and medical device data.
Source: www.fiercehealthcare.comCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0New Terraform integrations with ServiceNow, GitHub, Confluent, VMware, Cisco, and more - 6 month(s) ago
New Terraform Cloud and community integration partners provide more options to automate and secure cloud infrastructure management.
Source: www.hashicorp.comCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 3Artificial Empathy: A Human Construct Borrowed by AI - 6 month(s) ago
Understanding AI-based empathy requires a closer look at ourselves.
Source: www.psychologytoday.comCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 3Deploying new tech to defend against financial crime - 6 month(s) ago
With the width and depth of financial crime increasing as technology becomes ever more extensive, the need for new tech innovation in this area is increasing in tandem.
Source: FinTech GlobalCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 2Metaverse Wearables for Immersive Digital Healthcare: A Review - 6 month(s) ago
Advanced Science is a high-impact, interdisciplinary science journal covering materials science, physics, chemistry, medical and life sciences, and engineering.
Source: onlinelibrary.wiley.comCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 0Data-driven Healthcare Startup Answer Genomics Raises $500K from Inflection Point Ventures - 7 month(s) ago
Hyper-personalized & data driven wellness platform, Answer Genomics has raised $500K in a pre-series A Round from Inflection Point Ventures. The
Source: www.indianweb2.comCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0Avoiding Blunders When Analyzing Correlated Data, Clustered Data, or Repeated Measures - 7 month(s) ago
Rheumatology research often involves correlated and clustered data. A common error when analyzing these data occurs when instead we treat these data as independent observations. This can lead to incorrect statistical inference. The data used are a subset of the 2017 study from Raheel et al consisting of 633 patients with rheumatoid arthritis (RA) between 1988 and 2007. RA flare and the number of swollen joints served as our binary and continuous outcomes, respectively. Generalized linear models (GLM) were fitted for each, while adjusting for rheumatoid factor (RF) positivity and sex. Additionally, a generalized linear mixed model with a random intercept and a generalized estimating equation were used to model RA flare and the number of swollen joints, respectively, to take additional correlation into account. The GLM’s β coefficients and their 95% confidence intervals (CIs) are then compared to their mixed-effects equivalents. The β coefficients compared between methodologies are very
Source: www.jrheum.orgCategories: Latest Headlines, RheumatologyTweet
NEW Health Policy: 'Mapping and evaluating national #data flows: transparency, privacy, and guiding infrastructural transformation'. https://t.co/binwtA5S3e https://t.co/HuuQ3pELBl