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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Top News
An anonymous HHS official says that despite last week’s announcement, it will not create a registry of people with autism. NIH will continue with plans to build a $50 million repository of de-identified…
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The Current State of Healthcare Data Privacy
The Sequoia Project’s Privacy and Consent Workgroup has conducted an extensive review of existing consent models and frameworks. Their goal: achieving “computable consent” – an automated system where…
What You Should Know:
– Freshpaint, the creator of the Healthcare Privacy Platform, today announced the launch of Ad Performance, connecting ad platform data with real appointment outcomes to provide full visibility into the patient’s journey…
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HIPAA Security Rule Update: Why Basic Compliance Isn’t EnoughBy Jason Ward
Jason Ward is VP of IT and tech support at Collette Health.
The healthcare sector has become an increasingly attractive target for…
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Generating synthetic data from medical records is a complex task intensified by patient privacy concerns. In recent years, multiple approaches have been reported for the generation of synthetic data, however, limited attention was given…
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Electronic health records (EHRs) secondary usage with large language models (LLMs) raise privacy challenges. National regulations like GDPR and HIPAA offer protection frameworks, but specific strategies are needed to mitigate risk in generative AI….
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Particle Health filed a motion in response to Epic Systems filing to dismiss a court complaint that the electronic health record giant violated a federal antitrust statute.Epic has denied any wrongdoing and pledged to…
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Mateusz Krempa, COO, Piwik PRO
As healthcare providers increasingly embrace big data, they find themselves at a crossroads: the challenge of using relevant data to improve patient care while ensuring the highest levels of privacy…
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Privacy and data usage in the age of artificial intelligence are colliding in healthcare where maintaining trust is as essential as advancing patient care. Secure encryption technologies and regulatory guidance can help to ensure…
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