Chang Gung Memorial Hospital, Linkou in Taoyuan City, Taiwan, has been validated for Stage 6 of the HIMSS Analytics Maturity Assessment Model.The AMAM measures an organisation’s capabilities in healthcare analytics.
WHY IT MATTERS
A major challenge…
A 2024 CHIME report found that only about half of healthcare organizations have a clear AI strategy and leadership support. “To achieve optimal results, they need strong data governance, data quality, privacy and security…
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NHS England is investigating a cyber incident at University College London Hospitals NHS Foundation Trust (UCLH) and University Hospital Southampton NHS Foundation Trust.
A spokesperson for UCLH told Digital Health News that a software product…
Federated learning (FL) is advancing cancer research by enabling privacy-preserving collaborative training of machine learning (ML) models on diverse, multi-centre data. This systematic review synthesises current knowledge on state-of-the-art FL in oncology, focusing on…
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Background: The adoption of high-quality health apps has been slow, despite the myriad benefits associated with their use. This is partly due to concerns regarding the effectiveness, safety, and data privacy of such apps….
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Groundbreaking Health Data Partnership
The National Institutes of Health (NIH) and Centers for Medicare and Medicaid Services (CMS) have announced a collaborative partnership to develop a comprehensive “real-world data platform” focused on autism research. This…
Background: The increasing use of direct-to-consumer artificial intelligence (AI)–enabled mobile health (AI-mHealth) apps presents an opportunity for more effective health management and monitoring and expanded mobile health (mHealth) capabilities. However, AI’s early developmental stage…
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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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Data sharing technology company Datavant announced it will acquire Aetion, a company focused on real-world evidence in healthcare.Aetion will join Datavant to offer an end-to-end real-world evidence (RWE) platform, allowing healthcare and life sciences…
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This paper presents the results of a novel scoping review on the practical models for generating three different types of synthetic health records (SHRs): medical text, time series, and longitudinal data. The innovative aspects…
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