Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma.

ABSTRACT:

Objective

In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care.

Methods

We developed an interactive patient-level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a patient with scleroderma across multiple organs and illustrates this relative to a reference population, including patient subgroups who share risk factors with the index patient, to improve estimation of disease state. We conducted VAT usability testing with patients and clinicians. We then embedded results from internally cross-validated, Bayesian multivariate mixed models that calculate an individual's risk of critical events, usi

SUBMITTER: Kim JS 

PROVIDER: S-EPMC12919693 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature