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Related Concept Videos

Social Foundations of Self IV: Self in Digital Communication01:30

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Since the early 2000s, computer-mediated communication (CMC) has grown rapidly, playing a crucial role in self-development. A key distinction between CMC and real-life interactions is the lack of a physically present partner. This absence makes non-verbal cues such as facial expressions, body language, and paralinguistic signals unavailable in CMC platforms like email, instant messaging, or social media. The lack of these cues can create ambiguity and complicate how feedback is interpreted.The...
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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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[Digital Nephrology].

Stefan Becker1, Klemens Budde2, Frank-Peter Tillmann3,4

  • 1Klinik für Nephrologie, Universitätsmedizin Essen, Essen.

Deutsche Medizinische Wochenschrift (1946)
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Summary
This summary is machine-generated.

Digitization offers new solutions for clinical nephrology challenges by improving patient and provider communication. Technologies like mobile apps, big data, and machine learning can redesign treatment processes.

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Area of Science:

  • Nephrology
  • Health Informatics
  • Digital Health

Background:

  • Clinical nephrology faces significant structural challenges impacting patient care.
  • There is a need for innovative system solutions to address these challenges.
  • Improved communication is identified as a crucial factor for enhancing healthcare delivery.

Purpose of the Study:

  • To explore the role of digitization in overcoming structural challenges in clinical nephrology.
  • To identify how new system solutions can improve patient and healthcare provider interactions.
  • To examine the potential of emerging technologies in redesigning nephrology treatment processes.

Main Methods:

  • Leveraging health-related mobile applications for patient engagement and data collection.
  • Utilizing big data analytics and machine learning for predictive insights and personalized treatment.
  • Applying natural language processing to analyze clinical notes and improve information flow.

Main Results:

  • Digitization acts as a catalyst for developing advanced system solutions in nephrology.
  • Enhanced communication channels facilitate better patient-provider collaboration.
  • Technological integration enables a fundamental rethinking of treatment paradigms.

Conclusions:

  • Digital transformation is essential for modernizing clinical nephrology.
  • Mobile applications, big data, machine learning, and natural language processing are key enablers.
  • Rethinking and redesigning treatment processes through digitization can significantly improve nephrology care.