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Related Experiment Video

Updated: Jun 5, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

Using recommendation to support adaptive clinical pathways.

Zhengxing Huang1, Xudong Lu, Huilong Duan

  • 1College of Biomedical Engineering and Instrument Science, Zhejiang University, People's Republic of China. zhengxing.h@gmail.com

Journal of Medical Systems
|January 6, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a recommendation service for adaptive clinical pathways, guiding physicians with evidence-based next steps. The system ensures consistent recommendations, enabling dynamic adjustments to patient care.

Related Experiment Videos

Last Updated: Jun 5, 2026

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

Area of Science:

  • Health Informatics
  • Clinical Decision Support Systems
  • Artificial Intelligence in Healthcare

Background:

  • Clinical pathways are essential for standardizing healthcare quality and processes.
  • Managing patient care effectively requires tools that adapt to changing patient conditions.

Purpose of the Study:

  • To develop and validate a recommendation service for adaptive clinical pathways.
  • To support physicians by providing evidence-based guidance for patient management.

Main Methods:

  • A recommendation service was designed to suggest next steps in clinical pathways.
  • The service utilizes patient status measurements and historical case data.
  • Validation was performed using a real-world dataset from Electronic Patient Records.

Main Results:

  • The recommendation service demonstrated efficiency and usability in experiments.
  • Advice rationales remained consistent despite changes in patient status.
  • The system facilitates the creation of adaptive clinical pathways.

Conclusions:

  • The proposed recommendation service enables adaptive clinical pathways.
  • Physician guidance is enhanced through consistent, data-driven recommendations.
  • This approach improves the management of patient care quality.