The Federal Trade Commission is seeking to amend and expand its Health Breach Notification Rule, or HBNR, to cover entities not previously covered by HIPAA, allow them to use email and other electronic data…
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Labour Leader Keir Starmer has identified technology as one of three key shifts that his party will use to transform the health service under a Labour government. In a speech on Monday in Essex, Starmer…
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Every hospital trust and integrated care system (ICS) may get its own local version of the proposed new Federated Data Platform (FDP) that can connect and collaborate with other data platforms, locally and nationally. This…
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More than 60% of children with major depression in the U.S. do not receive any treatment. In spring 2021, emergency department visits for suspected suicide attempts were nearly 51% higher for adolescent girls compared…
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What You Should Know:
Resource-strapped hospice leaders are looking for tools that alleviate clinician burnout by streamlining workflows and building additional point-of-care functionality. Slow vendor development on this front has led to an overall decline…
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Background: Chatbots are an emerging technology that show potential for mental health care apps to enable effective and practical evidence-based therapies. As this technology is still relatively new, little is known about recently developed…
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Background: Microrandomized trials (MRTs) have emerged as the gold standard for the development and evaluation of multicomponent, adaptive mobile health (mHealth) interventions. However, not much is known about the state of participant engagement measurement…
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One top takeaway from a recent conference focused on the need for health systems—not just startups—to adopt an entrepreneurial mindset. “The path to growth will be a roller coaster. Stay the course,” panelists encouraged.
Yet…
Leeds Teaching Hospitals NHS Trust and the University of Leeds have collaborated with health tech company PinPoint Data Science to develop a blood test that uses artificial intelligence to identify the risk of a…
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In machine learning (ML), association patterns in the data, paths in decision trees, and weights between layers of the neural network are often entangled due to multiple underlying causes, thus masking the pattern-to-source relation,…
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