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Related Experiment Video

Updated: May 10, 2026

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

Published on: July 28, 2022

An evaluation tool for collaborative clinical research centers.

Robin Tragus¹, Jannine D Cody

¹Department of Pediatrics, University of Texas Health Science Center, San Antonio, TX, USA.

Clinical and Translational Science

|June 12, 2013

Summary

This summary is machine-generated.

A new tool tracks expanded clinical research services, improving work description and study monitoring from initiation to publication. This enables better resource planning and identification of process improvements for clinical research units.

Related Experiment Videos

Last Updated: May 10, 2026

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

The Immersive Cleveland Clinic Virtual Reality Shopping Platform for the Assessment of Instrumental Activities of Daily Living

Published on: July 28, 2022

Area of Science:

Clinical research management
Health services research

Background:

Clinical research units offer expanded services beyond traditional study conduct.
Existing metrics inadequately capture the full scope of these services.

Purpose of the Study:

To develop and implement a tool for tracking a comprehensive range of clinical research unit services.
To enhance the description of staff workload and study monitoring throughout the research lifecycle.

Main Methods:

Development of a novel tracking tool and methodology.
Implementation of the tool within a clinical research unit.
Monitoring study status from inception to publication.

Main Results:

Accurate description of expanded research unit services and staff work.
Enabled comprehensive study status monitoring across the entire lifespan.
Facilitated early involvement in study planning for resource anticipation.

Conclusions:

The developed tool accurately measures expanded services and study progress.
Data analysis can identify process barriers and guide future program improvements.
Early involvement in study planning allows for proactive resource and expertise forecasting.