Digital Respiratory Healthcare

Hilary Pinnock is Professor of Primary Care Respiratory Medicine at the University of Edinburgh (Edinburgh, UK). She leads programmes of work in the Asthma UK Centre for Applied Research and the RESPIRE Global Health Research Unit funded by the National Institute for Health and Care Research. She is co-Lead of the European Respiratory Society (ERS) Clinical Research Collaboration CONNECT, which focuses on implementation of digital respiratory care. Vitalii Poberezhets is an Assistant Professor of the Department of Propedeutics of Internal Medicine at the National Pirogov Memorial Medical University (Vinnytsya, Ukraine). David Drummond is a paediatric pulmonologist at the University Hospital Necker-Enfants Malades (Paris, France) and Associate Professor at the Université de Paris Cité (Paris).

The Medical Internet of Things: applications in respiratory medicine; Medical assistive robots; Digital health frameworks; Big data: challenges and opportunities within respiratory care; Artificial intelligence; European regulation of digital respiratory healthcare; Leave no one behind: the role of digital health literacy; Leave no community behind: the digital divide; Rapport and ethics in a digital world: impact on individuals; Digital respiratory medicine for children and young people; Policy context for digital transformation: benefits and challenges of implementing EU digital health regulation; Interconnectedness of digital health, climate change and respiratory care: navigating an environmentally sustainable path forward; The use of digital health solutions for COVID-19: pandemic surveillance, remote monitoring and big data; The use of digital technologies in adherence to anti-tuberculosis treatment; Digital adherence interventions for asthma; Supported self-management in asthma; Telehealth in COPD; Digital approaches to smoking cessation; Remote consultations in sleep disorders; Remote monitoring in children and adults with cystic fibrosis; Telerehabilitation in chronic respiratory disease; Artificial intelligence for interstitial lung disease assessment on chest CT