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- medical reform
- three lows framework
- Interoperability
- retinal imaging for ckd
- national healthcare insurance
- chronic kidney disease (ckd)
- deep learning in medical imaging
- gmai
- tertiary hospital structural reform pilot program
- kidney disease prediction
- mutimodal ai
- on-promise
- himss
- system reform
- digital medicine
- continuity of care
- unintended consequences
- ai-based risk stratification
- legal responsiblity
- krcore
- early detection of ckd
- ccmm
- machine learning in nephrology
- patient's safety
- ai in healthcare
- krcdi
- acute care patient discharge support and community linkage pilot project
- ai-powered diagnosis
- essential medical care
- healthcare policy
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목록Healthcare interoperability (5)
Connected Care

1. The Importance of Early CKD DetectionChronic kidney disease (CKD) is a major global health challenge, with most patients diagnosed only after losing more than half of their kidney function. Late detection limits opportunities for early intervention, increasing the likelihood of complications such as kidney failure and cardiovascular disease. To mitigate these risks, early diagnosis and risk s..

Medical artificial intelligence (AI) has made remarkable strides, from detecting pneumonia on chest X-rays to predicting sepsis risk in critically ill patients. However, existing AI models remain constrained by their narrow task scope and reliance on single-modal data. Most systems require retraining for each new function and struggle to synthesize diverse clinical information, such as imaging, ..

The Electronic Medical Record (EMR) system has become an essential tool in modern healthcare. However, due to inconsistent formats and a lack of interoperability, hospitals struggle to exchange medical data efficiently. As a result, patients must manually transfer their records when changing hospitals, leading to duplicate tests, unnecessary costs, and delays in treatment. These inefficiencies u..

Digital healthcare is rapidly evolving, with AI and big data playing an increasingly crucial role in patient care. However, it’s not always easy to see where these innovations are happening or how they are being applied in real-world settings.That’s why I found this recent study particularly interesting. It’s not just another theoretical AI project—it’s a study conducted by a Korean research tea..

One evening, a cancer patient undergoing chemotherapy in a major tertiary hospital in the Seoul metropolitan area developed a high fever while staying in his hometown and was rushed to the local emergency room. The ER staff knew he was a cancer patient but had no access to his medical records. An X-ray suggested chemotherapy-induced pneumonia, but without previous imaging, they couldn't determin..