PANDA – MSD: Predictive Analytics via Networked Distributed Algorithms for Multi – System Diseases

Study Updated 03/28/2024

Study Design: Retrospective Observational
PCORnet Infrastructure: Collaboration, CDM, Engagement
Principal Investigator: Jiang Bian
Site Name: University of Florida and University of Florida Health
PCORnet® Network Partner: OneFlorida+
Funder: NIH
Funding Date: 2022
Study Duration: 2022 – 2026
Participating Clinical Research Networks: OneFlorida+, STAR
Therapeutic Area: Rare Disease
Condition: Granulomatosis with Polyangiitis (GPA); Psoriatic Arthritis (PsA)
Population: 18 Years and older (Adult, Older Adult )
Status: Recruiting

Research Question(s):
Can the use of EHR data develop predictive tools to assist healthcare providers in reaching earlier diagnoses and interventions, and improve the diagnostic journey and clinical outcomes of patients with rare diseases?