ATS 2020 Advance Program

Objectives At the conclusion of this session, the participant will be able to: • understand how health inequalities influences access to PR services across a range of health care settings and appreciate the reasons that explain these associations; • define new strategies to enhance referral and access to effective PR in under-served populations; • understand the opportunities and challenges in relation to the provision of PR in low resource healthcare settings. Pulmonary Rehabilitation (PR) is a key intervention in the management of chronic respiratory disease but provision of PR is highly variable within and between nations. In this symposium, speakers will explore the scale and causes of variation in PR provision in relation to economic, ethnic and gender inequality. Challenges in developing and delivering PR to these populations in the developed and developing world will be articulated. Chairing: S.J. Singh, PhD, Leicester, United Kingdom S. Roark, MD, Denver, CO 2:15 Introduction S.J. Singh, PhD, Leicester, United Kingdom 2:27 Reaching Out with Rehabilitation: How the System Disadvantages Patients in Lower Socioeconomic Groups K. Johnston, PhD, Adelaide, Australia 2:54 Participation in Pulmonary Rehabilitation: Who’s Missing? P. Camp, PT, MS, PhD, Vancouver, Canada 3:21 Gender Questions: What We Know and What We Need to Know about Pulmonary Rehabilitation for Men and Women F. Early, PhD, Cambridge, United Kingdom 3:48 Pulmonary Rehabilitation in Developing Countries: How Can it Be Implemented? S.S. Salvi, MD, PhD, Pune, India BEHAVIORAL • CLINICAL • TRANSLATIONAL SCIENTIFIC SYMPOSIUM B87 SLEEP CLINIC 2030: BIG DATA, WEARABLES AND DEEP LEARNING CHANGE SLEEP MEDICINE Assembly on Sleep and Respiratory Neurobiology 2:15 p.m. - 4:15 p.m. Target Audience Pulmonary and critical care physicians, sleep physicians, fellows in training, health data scientists. Objectives At the conclusion of this session, the participant will be able to: • learn about the current state of novel technology, big data and analytics in sleep characterization, wearables, treatment monitoring, and engaging patients in sleep disorder management; • improve understanding of the opportunities, benefits and limitations of big data and deep learning in sleep characterization, wearables, treatment monitoring, and engaging patients in sleep research; • apply technology-based tools to partner patients with sleep care providers, and to empower patients to improve self-care for their sleep disorders, including obstructive sleep apnea and insomnia. Advances in technology and analytics have the potential to transform how we measure sleep and deliver therapy both in the home and the clinic, and to engage and empower patients in ways that personalize sleep health care. The goal of this symposium is to summarize the current state of novel technology, Big Data and analytics in 1) sleep characterization, 2) wearables, 3) treatment monitoring and 4) engaging patients to manage sleep disorders. Presented by young investigators, leaders in the field and patients, this session will synthesize above knowledge to paint a bold vision for the sleep clinic in the near future (2030). ATS 2020 • Philadelphia, PA MONDAY • MAY 18 91