Abstract Number: 0167 • ACR Convergence 2020
Rheumatoid Arthritis Patient Phenotypes from a Digital Health Coaching Engagement Program
Background/Purpose: The goal of this study was to examine whether cluster analysis could be used to identify homogeneous subgroups of engagement in RA patients enrolled…Abstract Number: 0257 • ACR Convergence 2020
Application of Text Mining Methods to Identify Lupus Nephritis from Electronic Health Records
Background/Purpose: Lupus nephritis (LN) is a frequent complication of SLE and associated with higher morbidity and mortality. Accurate estimates of the prevalence of LN in…Abstract Number: 0569 • ACR Convergence 2020
Ability and Willingness to Utilize Telemedicine Among Rheumatology Patients – a Cross Sectional Survey
Background/Purpose: Telemedicine (TM) is the delivery of health care services using information and communication technologies. TM presents unique opportunities and benefits specifically in rheumatology as…Abstract Number: 0578 • ACR Convergence 2020
Going Digital Due to COVID 19 Crisis: A Rapid Reorganisation of Medication Clinics
Background/Purpose: Until the COVID 19 crisis we initiated DMARD(s) and Biologic therapies using shared medical clinics. More than 30 patients could seen per week, with…Abstract Number: 0589 • ACR Convergence 2020
The Ideal Mhealth Application for Rheumatoid Arthritis: Qualitative Findings from Stakeholder Focus Groups
Background/Purpose: Early access to specialized rheumatological care is under increasing pressure. Many countries are currently confronted with a relative shortage of practicing rheumatologists, while recent…Abstract Number: 0973 • ACR Convergence 2020
Novel Network Tool Highlights Key Features Associated with Disease Pathotypes and Response to Treatment in Early Rheumatoid Arthritis
Background/Purpose: Biomedical research uses many statistical/bioinformatics tools to find genes or proteins differentially expressed between patient group of interest. However, biological elements are related to…Abstract Number: 1302 • ACR Convergence 2020
Exploration of Machine Learning Methods in Predicting Systemic Lupus Erythematosus Hospitalizations
Background/Purpose: Systemic lupus erythematosus (SLE) is a heterogeneous disease associated with increased morbidity and mortality, and severe SLE flares can lead to hospitalizations. Our objective…Abstract Number: 1545 • ACR Convergence 2020
An Artificial Intelligence (AI) Assistant Identifying Spinal Diffuse Idiopathic Skeletal Hyperostosis on Plain X-rays: A Pilot Deep Learning Study
Background/Purpose: Diffuse idiopathic skeletal hyperostosis (DISH) is a non-inflammatory condition most classically seen in the spine, and is characterized by ossification of the spinal ligaments…Abstract Number: 1597 • ACR Convergence 2020
Use of a Clinical Dashboard Improves the Documentation of Disease Severity Scores and May Facilitate the Implementation of Treat to Target Therapy
Background/Purpose: Rheumatoid Arthritis (RA) management guidelines recommend the collection of Disease Activity Measures (DAMs) to direct therapy as a component of a “treat-to-target” (T2T) strategy. …Abstract Number: 1745 • ACR Convergence 2020
A Novel Method for Predicting 1-Year Retention of Abatacept Using Machine Learning Techniques
Background/Purpose: In the ACTION (NCT02109666) study, using multivariable Cox proportional hazards regression models, patient (pt) global assessment of pain, country, reason for stopping last biologic,…Abstract Number: 1788 • ACR Convergence 2020
Assessment of the Impact of Interferon Levels on Cognitive Dysfunction in Patients with SLE
Background/Purpose: Cognitive impairment (CI) is among the earliest and the most prevalent manifestations of SLE. Previous studies have demonstrated that the increased levels of interferon…Abstract Number: 2888 • 2019 ACR/ARP Annual Meeting
Deriving Accurate Prednisone Dosing from Electronic Health Records: Analysis of a Natural Language Processing Tool for Complex Prescription Instructions
Background/Purpose: Prednisone is commonly used to treat rheumatic diseases, yet few comparative effectiveness studies on different dosing regimens are available. Electronic health records (EHR) and…