The complexities inherent in EHR data create discrepancies between real-world evidence and RCTs, posing substantial challenges in determining whether a treatment is likely to have a beneficial impact compared to the standard of care…
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What You Should Know:
– WorkDone, a healthcare AI startup closes $1.8M in pre-seed funding round aimed at tackling one of healthcare’s most costly and persistent challenges: documentation errors in Electronic Health Records (EHRs).
–…
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Traditional methods of evaluation are often too slow, rigid and costly for the fast-moving world of digital health, writes Professor Kathrin Cresswell
The NHS is facing significant challenges and digital technologies have potential in helping…
This is part one of MobiHealthNews’ two-part series that will highlight the evolution of innovations that changed healthcare over the past several decades. In the past 30 years, the role of technology in healthcare has…
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Federated learning (FL) enables collaborative analysis of decentralized medical data while preserving patient privacy. However, the covariate shift from demographic and clinical differences can reduce model generalizability. We propose FedWeight, a novel FL framework…
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For all the strides made in recent years breaking down the many barriers to data interoperability across the healthcare ecosystem, challenges still remain. One of the biggest is sharing patient information between and among…
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What You Should Know:
– Creyos, an online platform for objective cognitive and behavioral health assessments, today announced a strategic partnership with Redox, a prominent provider of healthcare data interoperability solutions.
– The collaboration is set…
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Despite significant advances, the prevention and management of cardiovascular disease remain challenging, especially for ischemic heart disease (IHD). Current clinical decision-making relies heavily on physician expertise, guideline-directed therapies, and static risk scores, which often…
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Priscilla Sandberg, senior healthcare manager at Pure Storage, says healthcare organizations today face a set of intertwined challenges: ensuring quick access to clinical data, maintaining system resilience and preventing downtime, and managing rising operational…
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It wasn’t that long ago that healthcare was seen to have slower adoption of data science, compared to other industries. Even with the existence of state-of-the-art analytics platforms, few doctors were using them as recently…
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