With all of the new and exciting implementations of AI, I'm sure it will surprise no one that it is going to be the number one most talked about topic over the next 12…
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Shadow health secretary Wes Streeting has criticised the “glacial” pace of adoption of the NHS Federated Data Platform (FDP) and suggested that Labour would deliver “a more effective culture of innovation”.Speaking at an event…
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Clarissa Riggin, Chief Product Officer at Experian Health
Experian Health, a provider of solutions in revenue cycle management, identity management, patient engagement, and care management, plays a pivotal role in transforming the healthcare landscape. By…
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The healthcare industry needs change, whether through technological advancements or by improving trust among consumers. During a panel discussion last week at AHIP 2024, three executives shared their calls to action with other healthcare…
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Ming Tang, the leader at the forefront of the NHS’ data revolution in England, will make a welcome return as national keynote at the Digital Health AI and Data conference 2024.The event, dedicated to…
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Calderdale and Huddersfield NHS Foundation Trust (CHFT) has achieved stage 6 validation from HIMSS for its use of data and approach to data science.The validation for HIMSS’ Adoption Model for Analytics Maturity (AMAM), which…
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GeneDx, a genetic testing and analytics developer, announced this week that it is collaborating with Epic to expand access to its rapid whole genome sequencing services.WHY IT MATTERSThe focus is specifically on neonatal intensive…
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By Shania Kennedy
June 13, 2024 – Researchers from Washington University in St. Louis have developed a machine learning (ML) approach to predict recovery outcomes following lumbar spine surgery using data from wearables and other sources.
The…
Demonstrators disrupted sessions and gathered outside the NHS Confed Expo to protest against its sponsorship by US data analytics giant Palantir.The US firm provoked widespread controversy when it was awarded a £330 million contract…
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By Shania Kennedy
June 11, 2024 – A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care.
EEGs are…
