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Feeder-Net Fereated E-health Big Data for Evidence Renovation Network


Dr. Rae Woong Park introduces another research project provide in Korea, named the Feeder-Net Fereated E-health big data for evidence renovation network.

In this study, 41 largest hospitals in Korea joined in this project. They converted hospitals’ data in terms of the Common Data Model and they use this platform utilizing hospital data. Around 55 million patient data is included in this platform. Each hospital data are separated from each other.

In addition, 7 extension model models were developed and now more companies have joined this project. This means the feeder-net platform can utilize all of the data once they participate. This is convenient for the researcher to gain the data as synchronous manner.

In the final part, Dr. Rae Woong Park explains a certain example of the business model. Like chronic disease care service, and perinatal mother service. Companies want to use data for personalized chemotherapy recommendation or diet training exercise service. etc.

Based on what we have heard of all the AI on healthcare, would you be able to come up with some idea of other possible solutions using Big Data to improve a certain disease treatment? Feel free to share any idea.

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AI and Big Data in Global Health Improvement

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