Hevelius Report: Visualizing Web-Based Mobility Test Data For Clinical Decision and Learning Support

TL;DR

Hevelius Report is a visualization tool that helps clinicians interpret complex mobility test data for Parkinson's and ataxia patients, aiding in clinical decision-making and patient monitoring.

Contribution

The paper introduces a novel interactive visualization tool that abstracts and visualizes clinical concepts from detailed mobility test features.

Findings

Clinicians showed interest in using the tool for subtle mobility change detection.

The tool effectively visualizes patient data against healthy controls.

Preliminary user feedback was positive regarding usability and usefulness.

Abstract

Hevelius, a web-based computer mouse test, measures arm movement and has been shown to accurately evaluate severity for patients with Parkinson's disease and ataxias. A Hevelius session produces 32 numeric features, which may be hard to interpret, especially in time-constrained clinical settings. This work aims to support clinicians (and other stakeholders) in interpreting and connecting Hevelius features to clinical concepts. Through an iterative design process, we developed a visualization tool (Hevelius Report) that (1) abstracts six clinically relevant concepts from 32 features, (2) visualizes patient test results, and compares them to results from healthy controls and other patients, and (3) is an interactive app to meet the specific needs in different usage scenarios. Then, we conducted a preliminary user study through an online interview with three clinicians who were not involved in the project. They expressed interest in using Hevelius Report, especially for identifying subtle changes in their patients' mobility that are hard to capture with existing clinical tests. Future work will integrate the visualization tool into the current clinical workflow of a neurology team and conduct systematic evaluations of the tool's usefulness, usability, and effectiveness. Hevelius Report represents a promising solution for analyzing fine-motor test results and monitoring patients' conditions and progressions.