Background: Digitalization can optimize healthcare; however, many eHealth projects fail to meet their objectives. Analyzing the reasons behind unsuccessful eHealth implementations can provide valuable insights into achieving successful digitalization in primary and home care…
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Nicholas Tatonetti, PhD, Vice Chair of Computational Biomedicine at Cedars-Sinai (image credit)
What You Should Know
– Cedars-Sinai has secured a $5.05M ARPA-H contract to build KronosRx, an AI platform that predicts drug toxicity by pairing…
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What You Should Know
– HealthEx and Anthropic have launched a first-of-its-kind integration that allows Claude Pro and Max users to securely connect their medical records from over 50,000 provider organizations directly to the AI.
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Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditions in the intensive care unit (ICU), including recognised rare diseases and low-prevalence conditions in the ICU, remain underserved due to data scarcity…
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While more patient data is collected every day in the healthcare industry, patients’ access to that data is still lacking. To address this issue, the Centers for Medicare & Medicaid Services (CMS) wants to…
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Emergency care systems are challenged by the emergence of an ageing population, requiring tailored inputs facilitated by early care needs assessment. We examined the potential of Machine Learning algorithms to identify in-hospital healthcare contacts…
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Vanessa Counaert, head of connected care for Western Europe at Baxter (Credit: Baxter)
As healthcare organisations across Europe pursue digital transformation, Vanessa Counaert, head of connected care for Western Europe (WEU) at Baxter, highlights…
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Oliver Lake, chief executive of the Professional Record Standards Body (Credit: PRSB)
Exclusive: The Professional Records Standards Body (PRSB) will relaunch in 2026 with a revised funding model, after NHS England ceased its core…
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Alzheimer’s Disease (AD), the most common neurodegenerative disease, is underdiagnosed and more prominent in underrepresented groups. We performed semi-supervised positive unlabeled learning (SSPUL) coupled with racial bias mitigation for equitable prediction of undiagnosed AD…
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Johns Hopkins Medicine reduced its call volume by 3% and its operating costs by $1.4 million using a contact center solution from Avaya, giving staff more time to assist patients with complex needs.
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