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Related Experiment Video

Updated: Jun 4, 2026

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

eEvidence: Information Seeking Support for Evidence-based Practice: An Implementation Case Study.

Jin Zhao¹, Min-Yen Kan, Paula M Procter

¹National University of Singapore, Singapore.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|February 25, 2011

Summary

This summary is machine-generated.

This study builds an evidence-based practice resource using web-collected articles. Automated classification and key information extraction improve relevance judgments for efficient information seeking.

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Published on: June 13, 2025

Area of Science:

Information Science
Medical Informatics

Background:

Evidence-based practice (EBP) relies on up-to-date research.
Accessing and synthesizing relevant EBP literature can be time-consuming.

Purpose of the Study:

To develop an automated system for curating and classifying EBP articles.
To enhance relevance judgments for improved information retrieval.
To offer flexible information seeking options based on user time availability.

Main Methods:

Web scraping to collect freely available articles.
Automated text classification for article categorization.
Key information extraction techniques for data analysis.
Development of a dual-interface system for active and passive information seeking.

Main Results:

A comprehensive collection of up-to-date EBP articles.
Improved accuracy in relevance judgments through automated analysis.
A user-friendly system supporting diverse information needs.

Conclusions:

Automated methods can effectively build and manage EBP resources.
The developed system enhances the efficiency of evidence-based practice.
Dual-interface design caters to varying user time constraints for information access.