Healthcare faces significant challenges, including workforce shortages and increasing demands. Socially assistive robots (SARs) have emerged as potential solutions to augment care, but their implementation in hospital wards remains largely unexplored. We conducted a…
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What You Should Know:
– EHR interoperability holds immense potential to improve patient care decisions, enable innovation, and reduce administrative churn. However, a new report from KLAS Healthcare IT Insights reveals that despite advancements in…
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Lawrence Tallon, chief executive at the Medicines and Healthcare products Regulatory Agency (Credit: MHRA)
The Medicines and Healthcare products Regulatory Agency (MHRA) and the National Institute for Health and Care Excellence (NICE) have secured…
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Dr. J Randall Jordan, a double board-certified facial plastic surgeon at Faces, PLLC, near Jackson, MS again joins eHealth Radio and the Plastic Surgery Information Channel. In this episode, Dr. Jordan explains what sets…
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Background: Effective treatments for depression are available, yet many patients do not respond to treatment or experience relapse. Cognitive bias modification aims to ameliorate cognitive biases that contribute to the development and maintenance of…
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Effective risk stratification is essential in clinical practice, enabling better resource allocation and improved patient outcomes. Although machine learning models have been widely used for risk prediction and stratification in electronic health record (EHR)…
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Kathryn Marsden, chief executive at the Social Care Institute for Excellence (Credit: SCIE)
The ‘shift to digital’ poses unique opportunities and challenges for social care, writes Kathryn Marsden OBE, chief executive at the Social Care…
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James Lakes, MSc is president of Mednition.
Tell me about yourself and the company.
Mednition works with healthcare leaders and providers who are looking to improve the clinical, financial, and operational performance of…
Many workforces are exposed to traumatic events which can precipitate the development of depression, anxiety and posttraumatic stress symptoms. This randomized controlled trial aimed to evaluate if an app-based version of the Skills for…
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Clinical decision-making often simplifies continuous risk data into discrete levels using round-number thresholds. These simplifications can distort risk assessments. To systematically uncover these distortions, we develop an interpretable machine learning model that identifies anomalies…
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