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#DigitalHealth

18 posts16 participants1 post today
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Marco Ciappelli🎙️✨:verified: :donor:

🎙️✨Attention, Attention!
There’s a brand-new On Location podcast episode on ITSPmagazine

Interoperability, #AI, and the Future of #Trust in #Healthcare – A HIMSS 2025 Conversation

#Technology is transforming healthcare at an incredible pace—but as we digitize patient data, automate decision-making, and integrate AI into medical systems, we have to ask: Are we improving care, or just creating new risks?

In this virtual coverage of #HIMSS 2025, Sean Martin and I sat down with Robert Havasy to discuss interoperability, AI, and the evolving landscape of trust in healthcare. The healthcare industry is facing a critical moment: data needs to move seamlessly between systems, but #security, #privacy, and ethical concerns can’t be afterthoughts.

We dive into:
Interoperability – The promise and challenges of frictionless data exchange in healthcare
AI in healthcare – Can we trust machine-driven diagnostics and automated decision-making?
#Cybersecurity risks – As medical data moves faster, are we creating more vulnerabilities?
The societal impact – How does technology reshape our fundamental trust in healthcare?

We’re living in a time where convenience often wins over caution, but when it comes to our health, #privacy, and security, we can’t afford to take shortcuts. How do we ensure technology enhances human care rather than replacing it?

📺 Watch on YouTube: youtu.be/vufUNhxf9_M

🎧 Listen now: eventcoveragepodcast.com/episo

▶️ More On Location episodes: itspmagazine.com/technology-cy

🎥 ITSPmagazine YouTube Channel: youtube.com/@itspmagazine📺 Watch on YouTube: youtu.be/vufUNhxf9_M

🎧 Listen now: eventcoveragepodcast.com/episo

▶️ More On Location episodes: itspmagazine.com/technology-cy

🎥 ITSPmagazine YouTube Channel: youtube.com/@itspmagazine

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
#HIMSS2025#Healthtech#DataPrivacy
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Research Institute

📢 Die EHDS-Verordnung ist da! 🚀 Der Europäische Gesundheitsdatenraum (EHDS) regelt die Nutzung elektronischer Gesundheitsdaten in der EU – für bessere Versorgung & mehr Forschung. Alle Details & Fristen hier:

➡️ researchinstitute.at/european-

Author:
@legalmemory

Research Institute · Europäischer Gesundheitsdatenraum (EHDS): Verordnung im Amtsblatt veröffentlichtDie EHDS-Verordnung wurde im Amtsblatt veröffentlicht und legt die Regeln für die Primär- und Sekundärnutzung elektronischer Gesundheitsdaten in der EU fest. Erfahre mehr über die Inhalte, Fristen und Auswirkungen des Europäischen Gesundheitsdatenraums.
#EHDS#Gesundheitsdaten#Datenschutz
Public
Ben Lorica 罗瑞卡

🏥 DeepSeek is being rapidly implemented across China's tertiary hospitals 🚑 to enhance clinical decision-making and operational efficiency
#AI #LLM #HealthAI #DigitalHealth
gradientflow.com/deepseek-in-a

Gradient Flow · DeepSeek in Action: Practical AI Applications Transforming Chinese Healthcare - Gradient FlowThis Q&A explores the practical implications of DeepSeek’s implementation in Chinese healthcare, drawing directly from the findings and analysis presented in the recent paper ‘DeepSeek reshaping healthcare in China’s tertiary hospitals’. What is DeepSeek, and how is it being deployed in Chinese hospitals? DeepSeek is an AI solution being rapidly adopted across China’s tertiary hospitalsContinue reading "DeepSeek in Action: Practical AI Applications Transforming Chinese Healthcare"
Public
Ben Lorica 罗瑞卡

DeepSeek has been widely implemented across China's tertiary hospitals since January 2025
🏥 From Shanghai to Chengdu: Inside China's AI-Powered Medical Transformation
#AI #HealthAI #DigitalHealth
arxiv.org/abs/2502.16732

arXiv logo
arXiv.orgDeepSeek reshaping healthcare in China's tertiary hospitalsThe rapid integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making and hospital operations. DeepSeek has emerged as a leading AI system, widely deployed across China's tertiary hospitals since January 2025. Initially implemented in Shanghai's major medical institutions, it has since expanded nationwide, enhancing diagnostic accuracy, streamlining workflows, and improving patient management. AI-powered pathology, imaging analysis, and clinical decision support systems have demonstrated significant potential in optimizing medical processes and reducing the cognitive burden on healthcare professionals. However, the widespread adoption of AI in healthcare raises critical regulatory and ethical challenges, particularly regarding accountability in AI-assisted diagnosis and the risk of automation bias. The absence of a well-defined liability framework underscores the need for policies that ensure AI functions as an assistive tool rather than an autonomous decision-maker. With continued technological advancements, AI is expected to integrate multimodal data sources, such as genomics and radiomics, paving the way for precision medicine and personalized treatment strategies. The future of AI in healthcare depends on the development of transparent regulatory structures, industry collaboration, and adaptive governance frameworks that balance innovation with responsibility, ensuring equitable and effective AI-driven medical services.
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