Abstracts tagged "informatics"

Abstract Number: 0569 • ACR Convergence 2020
Ability and Willingness to Utilize Telemedicine Among Rheumatology Patients – a Cross Sectional Survey
Steve Kong¹, Lilian Otalora Rojas², Amnie Ashour³, Mathew Robinson¹ and Neha Bhanusali¹, ¹University of Central Florida College of Medicine, Orlando, ²University of Central Florida HCA Healthcare GME, Orlando, ³Stony Brook University School of Medicine, New York
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
Rian Penford¹, Angela Reith¹, Elaine Wren¹ and Kirsten Mackay¹, ¹Torbay and South Devon NHS Foundation Trust, Torquay, United Kingdom
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
Diederik De Cock¹, Maryline Vandeputte², Rani Van Melder², Michael Doumen², Delphine Bertrand¹, Veerle Stouten¹, Sofia Pazmino¹, Rene Westhovens³ and Patrick Verschueren⁴, ¹KU Leuven, Leuven, Belgium, ²KU Leuven, Leuven, ³University Hospitals Leuven, Belgium, Leuven, Belgium, ⁴University Hospital Leuven, Leuven, Belgium
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
Elisabetta Sciacca¹, Anna Surace², Myles Lewis¹, Salvatore Alaimo³, Vito Latora⁴, Felice Rivellese¹, Alfredo Pulvirenti³, Alfredo Ferro³ and Costantino Pitzalis⁵, ¹Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, London, United Kingdom, ²Centre for Experimental Medicine and Rheumatology, Queen Mary University of London, Liverpool, United Kingdom, ³Bioinformatics Unit, Dept of Clinical and Experimental Medicine, University of Catania, Catania, Sicilia, Italy, ⁴School of Mathematical Sciences Queen Mary, University of London, London, United Kingdom, ⁵Queen Mary University of London, London, United Kingdom
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
April Jorge¹, Zhiyao Wu², Tashrif Chowdhury² and Yijun Zhao², ¹Massachusetts General Hospital, Boston, MA, ²Fordham University, Computer and Information Sciences Department, New York, NY
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: 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
Francine Castillo¹, Adrienne Strait ², Michael Evans ³, Julia Kay ⁴, Milena Gianfrancesco ⁵, Zara Izadi ⁶, Laura Trupin ¹, Mylien Hoang ⁷, James Shalaby ⁸, Gabriela Schmajuk ⁹ and Jinoos Yazdany ⁴, ¹University of California, San Francisco, San Francisco, CA, ²UCSF School of Medicine, San Francisco, CA, ³University of California San Francisco, San Francisco, ⁴UCSF Division of Rheumatology, San Francisco, CA, ⁵University of California, San Francisco, San Francisco, ⁶UCSF Division of Rheumatology, San Francisco, ⁷Touro University, San Francisco, ⁸Elimu Informatics, San Francisco, ⁹UCSF, SFVAMC Division of Rheumatology, San Francisco, CA
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…

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