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Related Concept Videos

Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Nursing Implementation01:15

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Implementation is the execution of the nursing care plan developed during the planning phase.
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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Updated: Sep 3, 2025

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Implementing Remote Collaboration in a Virtual Patient Platform: Usability Study.

Jan Kiesewetter1, Inga Hege2, Michael Sailer3

  • 1Institut für Didaktik und Ausbildungsforschung in der Medizin am Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany.

JMIR Medical Education
|July 28, 2022
PubMed
Summary
This summary is machine-generated.

Collaborative virtual patient learning significantly improved medical students' diagnostic accuracy. This tool enhances clinical reasoning skills and offers a user-friendly experience for medical education.

Keywords:
clinical reasoningcollaborationcollaborativecollaborative learningdecision makingwebRTC

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Area of Science:

  • Medical Education Technology
  • Clinical Reasoning Development
  • Collaborative Learning Strategies

Background:

  • Virtual patient (VP) platforms are popular for medical education.
  • Collaborative VP learning is underutilized despite potential benefits.
  • This study addresses the gap in collaborative VP learning implementation.

Purpose of the Study:

  • To implement and evaluate a collaboration tool for remote student interaction in VP sessions.
  • To assess if the tool impairs usability compared to individual learning.
  • To determine if collaborative learning improves diagnostic accuracy.

Main Methods:

  • Developed a five-step collaboration tool for VP platforms.
  • Tested usability using the System Usability Scale (SUS).
  • Compared diagnostic accuracy between dyads and individual students across 270 VP sessions.

Main Results:

  • Collaborating students achieved higher diagnostic accuracy (71%) than individual students (53%).
  • The collaboration tool demonstrated good usability with a SUS score of 82.16 (B+).
  • The implemented tool showed no negative impact on system usability.

Conclusions:

  • The developed collaboration tool enhances diagnostic accuracy in virtual patient learning.
  • The tool offers a versatile solution for integrating collaborative learning into medical education.
  • This technology opens new avenues for designing collaborative virtual patient courses.