Proceedings of the 4th International Conference on Management Science and Industrial Engineering 2022
DOI: 10.1145/3535782.3535813
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Digital Transformation of Information Fulfillment and Patient Engagement for Health Service Safety

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Cited by 2 publications
(4 citation statements)
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“…Netizens, or active internet users who provide feedback on health services and medical education, can be a valuable source of information for medical education institutions. Through social media platforms and online forums, netizens can share experiences, provide input [18], and provide different perspectives on health issues and medical education. This helps specialist medical students to understand more deeply the community's needs and expectations for health services.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
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“…Netizens, or active internet users who provide feedback on health services and medical education, can be a valuable source of information for medical education institutions. Through social media platforms and online forums, netizens can share experiences, provide input [18], and provide different perspectives on health issues and medical education. This helps specialist medical students to understand more deeply the community's needs and expectations for health services.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Just like Koas for medical students, PPDS provides these doctors with the opportunity to gain direct experience in clinical practice, perform more complex medical procedures, and learn from direct experience with patients [18]. This program aims to produce specialist doctors who are trained and competent in their respective fields.…”
Section: The Icarus Paradox In Specialist Doctor Education Programsmentioning
confidence: 99%
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“…Overall, the research highlights the potential of machine learningdriven systems to optimize medication management for chronic diseases. [5] The mobile-based medication management system for diabetes integrates personalized reminders and adherence monitoring using machine learning algorithms. A pilot study with 50 diabetes patients demonstrates its efficacy in improving medication adherence and glycemic control.…”
Section: Literature Reviewmentioning
confidence: 99%