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Episode 4 - The Medical Doctor as Data Scientist. Interview with dr. Bart-Jan Verhoeff.

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Manage episode 343941255 series 3140120
Content provided by EUSOMII. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EUSOMII or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
For Episode 4 we interviewed doctor Bart-Jan Verhoeff, who's a nephrologist, a medical doctor specialized in kidney diseases. He works at the St. Jansdal Hospital in Harderwijk, the Netherlands, where he’s also CMIO or Chief Medical Information Officer. He’s also known as dokter.ai, from the blog carrying the same name. He trained himself in machine learning to develop an algorithm able to predict the likelihood of re-uptake of his patients. Verhoeff emphasizes the usefulness of machine learning as a method of using patient data intelligently. By using models based on data from the Electronic Patient Rrecord (EPR), doctors can make predictions, so that they can improve work processes, and improve the quality of patient care. Please stay tuned and listen to this interesting 30 minute interview.
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11 episodes

Artwork
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Manage episode 343941255 series 3140120
Content provided by EUSOMII. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by EUSOMII or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
For Episode 4 we interviewed doctor Bart-Jan Verhoeff, who's a nephrologist, a medical doctor specialized in kidney diseases. He works at the St. Jansdal Hospital in Harderwijk, the Netherlands, where he’s also CMIO or Chief Medical Information Officer. He’s also known as dokter.ai, from the blog carrying the same name. He trained himself in machine learning to develop an algorithm able to predict the likelihood of re-uptake of his patients. Verhoeff emphasizes the usefulness of machine learning as a method of using patient data intelligently. By using models based on data from the Electronic Patient Rrecord (EPR), doctors can make predictions, so that they can improve work processes, and improve the quality of patient care. Please stay tuned and listen to this interesting 30 minute interview.
  continue reading

11 episodes

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