Ruiying (Aria) Xiong

Engage with Ruiying (Aria) Xiong

aria.xiong@pennmedicine.upenn.edu

http://www.linkedin.com/in/ruiying-aria-xiong

Ruiying (Aria) Xiong

MS

Senior Statistical Analyst, Nudge Unit

Aria Xiong is a senior statistical analyst at the Nudge Unit.

Aria joined the team in 2018. Since then, she has served as the primary data analyst on projects focusing on opioid prescribing, distracted driving, COVID-19 remote monitoring, and other behavioral health interventions.

Aria received master's degrees in statistics and nutritional science from Rutgers University. She is currently pursuing an additional master's degree in computer and information technology at the University of Pennsylvania. She aims to apply natural language processing and machine learning methods in health care to capture valuable information to support decision-making.

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More about Ruiying (Aria) Xiong

Passionate about

Data science, data visualization, telemedicine

Favorite travel destination

National Parks in Utah, Hawaii, Tokyo

Favorite downtime activity

Hiking, BODYCOMBAT, snowboarding

My pet/s

Bolo

Publications

Opioid prescribing guidelines for spine surgery patients: a multisite analysis of guideline implementation and monitoring with an automated text messaging platform Journal of Neurosurgery: Spine | December, 2024

Handheld cellphone use and risky driving in adolescents JAMA Network Open | October, 2024

Fatal and nonfatal firearm injury rates by race and ethnicity in the United States, 2019 to 2020 Annals of Internal Medicine | July, 2024

A randomized trial of behavioral interventions yielding sustained reductions in distracted driving PNAS | July, 2024

Feedback and financial incentives for reducing cell phone use while driving JAMA Network Open | July, 2024

Validation of a smartphone telematics algorithm for classifying driver trips Transportation Research Interdisciplinary Perspectives | May, 2024

Identifying patient characteristics associated with opioid use to inform surgical pain management Annals of Surgery | November, 2023

Frequency and trends of pre-pandemic surge periods in U.S. emergency departments, 2006–2019 Critical Care Explorations | August, 2023

Patient and clinician perspectives of a remote monitoring program for COVID-19 and lessons for future programs BMC Health Services Research | June, 2023

Impact of universal screening and automated clinical decision support for the treatment of opioid use disorder in emergency departments: a difference-in-differences analysis Annals of Emergency Medicine | June, 2023

Variability in opioid use disorder clinical presentations and treatment in the emergency department: a mixed-methods study The American Journal of Emergency Medicine | January, 2023

Pulse oximetry for monitoring patients with COVID-19 at home — a pragmatic, randomized trial The New England Journal of Medicine | April, 2022

Testing digital methods of patient-reported outcomes data collection: prospective cluster randomized trial to test SMS text messaging and mobile surveys JMIR Formative Research | March, 2022

Sustained Implementation of a Multicomponent Strategy to Increase Emergency Department-Initiated Interventions for Opioid Use Disorder Annals of Emergency Medicine | December, 2021

An accelerated hospital observation pathway to reduce length of stay for patients with COVID-19 The American Journal of Managed Care | November, 2021

Comparative effectiveness of an automated text messaging service for monitoring COVID-19 at home Annals of Internal Medicine | November, 2021

Variation in emergency department visit rates for opioid use disorder: Implications for quality improvement initiatives The American Journal of Emergency Medicine | November, 2021

Patient-reported opioid consumption and pain intensity after common orthopedic and urologic surgical procedures with use of an automated text messaging system JAMA Network Open | March, 2021

An automated text messaging program to inform postoperative opioid prescribing NEJM Catalyst | February, 2021