Related Experiment Video
Updated: Jun 15, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
Simulation of Clinical Visits as a Novel Approach to Evaluate Digital Health in Multiple Sclerosis: Simulation Study
Riley Bove1, Luca Capezzuto2, Imogen West3
1Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Background:
Efforts are being made to integrate digital health technologies into clinical care for multiple sclerosis (MS) to improve patient monitoring. Efficiently probing how they might impact clinical care could streamline digital tool development. The Floodlight digital tool, comprising 5 smartphone sensor-based tests, was used to generate health-related data on patient function and symptoms in a clinical simulation.
Objective:
The study had 3 objectives: (1) assess the utility of simulated clinical encounters as a research methodology for exploring the introduction of digital health technologies into clinical practice in MS, (2) confirm the fidelity of the simulated environment and patient cases developed and understand what metrics (eg, workflow, comprehensive evaluation) could be generated, and (3) generate insights into the utility of digitally collected data, including usability, clinical decision contribution, and impact on workflows, in clinical practice.
Methods:
A total of 2 patient cases consisting of clinical, radiological, and digital health data were developed with clinician input. US-based neurologists prepared for and conducted 2 simulated teleconsultations each, with an actor briefed on case profiles. Floodlight data were available, via the Floodlight MS™ Health Care Professional Portal, for 1 of the 2 consultations. Participant neurologists completed interviews and surveys assessing the fidelity of the cases presented, user experience and workflow metrics, patient concerns identified, care decisions made, and confidence in making decisions.
Results:
All 10 neurologists indicated that the simulations were high-fidelity representations of real consultations. Using the Floodlight technology for the first time, median time taken to prepare for and conduct the consultation was ~1.7-2 minutes longer, with slightly greater mental effort reported by participants, compared with not using the tool. The Floodlight MS Health Care Professional Portal scored an "above average" 79 on the System Usability Scale and an "acceptable" Net Promoter Score of 10. In total, 6 of the 10 neurologists "strongly agreed" that it was easier and quicker to identify patient concerns when they had access to the patient-generated Floodlight data to prepare for their encounters than when they did not. Overall, more care and management decisions were taken when the digital tool was used (37 vs 29). Of those 37 decisions, Floodlight data were reported as a trigger for 20 decisions, always in combination with other elements including patient history (20/20) and clinical exam findings (9/20).
Conclusions:
These findings advance our understanding of clinical simulation as a method for evaluating digital tools and other innovative technologies for MS care. High-fidelity patient cases could be provided for the mock teleconsultations, and the simulated clinical environment was useful for evaluating usability and utility of a new digital tool-yielding preliminary evidence on how digital data could be accessed and utilized by neurologists to support routine MS care.

