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Updated: Jul 24, 2025

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Virtual Reality Experiments with Physiological Measures
Published on: August 29, 2018
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Protocol for virtual physical examination in an observational, longitudinal study evaluating virtual outcome measures
Anca D Askanase1, Cynthia Aranow2, Mimi Y Kim3
1Division of Rheumatology, Columbia University Irving Medical Center, New York City, New York, USA ada20@cumc.columbia.edu.
Lupus Science & Medicine
|July 10, 2023
Summary
This study assesses the accuracy of virtual disease activity measures for Systemic Lupus Erythematosus (SLE) using telemedicine compared to in-person visits. Findings will help validate remote assessments for clinical care and research.
Area of Science:
- Rheumatology
- Digital Health
- Clinical Research Methodology
Background:
- Systemic Lupus Erythematosus (SLE) outcome measures are complex.
- Clinicians and researchers question the accuracy of virtual disease activity assessments.
- The COVID-19 pandemic accelerated the need for reliable telemedicine (TM) in SLE management.
Purpose of the Study:
- To evaluate the agreement between virtual SLE outcome measures and face-to-face (F2F) encounters.
- To establish the reliability of TM for assessing SLE disease activity.
- To provide data supporting the use of TM in clinical trials and patient care.
Main Methods:
- An observational, longitudinal study involving 200 SLE patients across four academic centers.
- Patients undergo simultaneous TM and F2F evaluations by the same physician.
- Virtual physical examination guidelines were developed; disease activity measures compared using Bland-Altman analysis.
Main Results:
- Interim analysis of the first 50 patients' data is planned.
- The study design focuses on quantifying agreement between TM and F2F assessments.
- Full results will be available after analyzing data from 200 patients.
Conclusions:
- Establishing high agreement between TM and F2F SLE measures is crucial.
- Validated TM measures can improve disease activity assessment when F2F visits are not feasible.
- This research aims to guide medical decisions and enhance reliability in clinical research outcome measures.

