European Respiratory Society
Digital Respiratory Healthcare

Respiratory care is undergoing a period of major change as it cautiously begins to embrace digital transformation. Catalysed by the need for remote consultation in the pandemic, time-honoured approaches to delivering care are now being challenged by technology-based initiatives. This Monograph deftly guides the reader through the potential benefits and pitfalls of such change, breaking the discussion down into three areas: technological opportunities and regulatory challenges ; social benefits, challenges and implications; exemplars of digital healthcare. Each chapter reviews contemporary literature and considers not ‘if’ but ‘how’ a digital respiratory future can provide optimal care. The result is an authoritative, balanced guide to developing digital respiratory health.

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    1. Page 1
      Abstract
      Corresponding author: Andrea Aliverti (andrea.aliverti@polimi.it)

      The Medical Internet of Things is the application of the Internet of Things to medicine and is used specifically for the remote monitoring of patients. The chapter provides an overview of digital tools and telemedicine platforms used in the field of respiratory medicine. Digital tools are divided into three categories based on their portability: home devices, hand-held devices and portable/wearable devices. Telemedicine platforms comprise one or multiple sensors, generally respiratory monitors, cardiac monitors, activity tracking solutions, and environmental monitors. Sensors can be equipped with cellular link technologies such as 4G, 5G or Wi-Fi, or need a gateway to collect data. Overall, these solutions enable remote monitoring of respiratory patients, providing valuable data for improved interventions, patient care and quality of life while reducing healthcare costs.

      Cite as: Angelucci A, Aliverti A. The Medical Internet of Things: applications in respiratory medicine. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 1–15 [https://doi.org/10.1183/2312508X.10000423].

    2. Page 16
      Abstract
      Corresponding author: Stefania La Grutta (stefania.lagrutta@ift.cnr.it)

      Medical assistive robots (MARs) are innovative tools providing extensive support and assistance to users in different medical scenarios, enhancing patients’ health and care. Social MARs have been implemented in respiratory medicine to help manage chronic respiratory conditions, such as asthma, COPD and cystic fibrosis. To integrate MARs into routine clinical practice, more studies are needed to strengthen the evidence on the feasibility, acceptability and efficacy of MARs in chronic respiratory conditions in the long term.

      Cite as: Licari A, Ferrante G, Malizia V, et al. Medical assistive robots. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 16–26 [https://doi.org/10.1183/2312508X.10000523].

    3. Page 27
      Abstract
      Corresponding author: Isaac Cano (iscano@recerca.clinic.cat)

      Digital health frameworks (DHFs) serve as essential enablers for establishing efficient interaction among diverse information sources, thereby promoting continuous learning, facilitating research, supporting personalised medicine and driving evidence-based decision-making. The use of DHFs lead to enhanced healthcare quality and effective population health management. A DHF also enables the implementation of decision support systems that assist healthcare providers in offering personalised treatment recommendations based on individual patient characteristics. However, the successful implementation of a robust digital health infrastructure requires not only the deployment of appropriate technologies but also seamless integration with existing systems and processes for health data management. Compliance with data protection regulations and adherence to established standards are crucial aspects that must be addressed. Despite significant investments by governments, health authorities, service providers and the industry to develop innovative DHF implementations, such as the European Health Data Space, the full potential of DHFs remains untapped, and the envisioned benefits are yet to be fully realised.

      Cite as: Cano I, Arismendi E, Borrat X. Digital health frameworks. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 27–37 [https://doi.org/10.1183/2312508X.10000623].

    4. Page 38
      Abstract
      Corresponding author: Katia M.C. Verhamme (k.verhamme@erasmusmc.nl)

      The digitalisation of healthcare data has resulted in an exponential increase in the volume of structured and unstructured data collected in real-life settings, known as real-world data (RWD) or big data. These data hold vast potential for advancements in various areas, including basic research, understanding disease mechanisms, clinical drug applications, health technology assessment and optimising clinical management through clinical prediction and personalised medicine. To ensure effective utilisation, it is crucial to assess the quality of RWD using a data quality framework and to transform it into a common data model to address heterogeneity. Protecting data privacy is achieved using a federated network approach for processing and analysing RWD. Looking ahead, we anticipate further growth in the importance and value of RWD, with a focus on the timing and clinical utility of evidence.

      Cite as: Markus AF, Arinze JT, Verhamme KMC. Big data: challenges and opportunities within respiratory care. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 38–50 [https://doi.org/10.1183/2312508X.10000723].

    5. Page 51
      Abstract
      Corresponding author: Konstantinos Kostikas (ktkostikas@gmail.com)

      Artificial intelligence (AI) has undoubtedly been the hype in the healthcare domain and elsewhere during the past decade; in particular, deep learning has brought about major progress, allowing unparalleled performance with minimal physician involvement. Respiratory medicine has adopted the AI wave with a slight delay compared with other areas of modern medicine and is currently in active development. The multitude of data types, which are complex in nature, and the sheer volume of data produced in respiratory medicine make it an excellent field for the use of AI applications. Nevertheless, this promising combination also has to deal with certain profound challenges. For the time being, AI is another tool facilitating the work of the physician, who undertakes all responsibility for the patient.

      Cite as: Exarchos K, Kostikas K. Artificial intelligence. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 51–62 [https://doi.org/10.1183/2312508X.10000823].

    6. Page 63
      Abstract
      Corresponding author: Stephen Gilbert (stephen.gilbert@tu-dresden.de)

      In this chapter, key regulatory concepts to consider in the field of digital respiratory healthcare are described, with a focus on European regulation. Although most regulatory requirements and concepts are not specific to respiratory medicine, there are particular considerations and themes of importance for the area. Key questions to be addressed are the overall regulatory development and approval process for digital medical devices, how regulations apply to software as a medical device, and special considerations for artificial intelligence and emerging technologies. Current legislation and guidelines are described, with an overview of in-progress legislation. Specific regulatory considerations are addressed for Medical Internet of Things devices and apps. The regulation of clinical decision support systems and closed loop systems for therapy is considered, alongside ventilator control systems. Requirements for digital therapeutics, companion diagnostics, new concepts for drug companion apps and virtual wards are addressed. Finally, the regulation of emerging digital concepts is considered, including digital twins and foundation artificial intelligence models.

      Cite as: Gilbert S. European regulation of digital respiratory healthcare. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 63–78 [https://doi.org/10.1183/2312508X.10000923].

    1. Page 79
      Abstract
      Corresponding author: Lars Kayser (lk@sund.ku.dk)

      The healthcare sector is undergoing a digital transformation that includes home monitoring, increased use of wearables for self-monitoring and increased access to new information sources provided by generative chat bots. On one hand, this transformation may result in increased efficiency and effectiveness of healthcare provision. It can alleviate the workload on health professionals through reorganised workflows and by delegating more tasks to patients, thereby enhancing their self-management abilities. On the other hand, this may also have negative effects such as anxiety and stress among individuals with lower digital health literacy. A multidimensional understanding of digital health literacy can potentially help provide person-centred care by informing the organisation of health services and helping the healthcare professionals to understand the specific needs of those they care for. There is still a lack of knowledge on how awareness of the level of digital health literacy amongst both healthcare professionals and patients can be used in clinical practice.

      Cite as: Kayser L, Phanareth K. Leave no one behind: the role of digital health literacy. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 79–94 [https://doi.org/10.1183/2312508X.10001023].

    2. Page 95
      Abstract
      Corresponding author: Jay Evans (Jay.Evans@ed.ac.uk)

      Digital solutions supporting respiratory health are frequently used across Europe, the UK and North America. The design approaches used in digital health have a significant impact on health equity. In this chapter, we seek to understand how digital design methods, particularly human-centred design, can promote inclusion of disadvantaged populations by considering them holistically. We also examine how digital health inequities in respiratory health may be exacerbated in rural and rural remote settings. A narrative is presented discussing approaches that have addressed gaps in health equity and fostered positive environments for co-design with communities of stakeholders. Discussion about the importance of digital design in lowering barriers to health equity is ongoing. However, in practice, the rapid deployment of digital health solutions takes precedence over design considerations. Research priorities must focus on understanding the impact that design in digital health tools to support respiratory health has on health equity.

      Cite as: Hansen C, Ringel M, Evans L, et al. Leave no community behind: the digital divide. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 95–106 [https://doi.org/10.1183/2312508X.10001123].

    3. Page 107
      Abstract
      Corresponding author: Elisavet Andrikopoulou (elisavet.andrikopoulou@port.ac.uk)

      Technology and healthcare have now been closely interlinked for many decades, but since the coronavirus disease 2019 pandemic, technology has infiltrated even the most non-technological fields. Technology now dominates medical consultations and, although technological advancements have revolutionised healthcare delivery, the human elements involved in healthcare delivery remain critical to effective clinical interactions. The essence of healthcare continues to lie in human contact and in the “humanness” underpinning these interactions. The emotional support that emanates from “humanness” can significantly affect the patient's well-being and help them cope with the psychological impact of their illness, improve their resilience, and increase their satisfaction with their care. This chapter discusses the technology element in the clinician–patient relationship, focusing on trust, empathy, ethical considerations and humanness, and also discusses the potential risk to the clinician–patient relationship when there are technological problems.

      Cite as: Andrikopoulou E, Thwaites T, De Vos R. Rapport and ethics in a digital world: impact on individuals. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 107–121 [https://doi.org/10.1183/2312508X.10001223].

    4. Page 122
      Abstract
      Corresponding author: David Drummond (david.drummond@aphp.fr)

      Digital respiratory medicine has the potential to dramatically change the way children and young people with respiratory diseases are cared for. However, the development and implementation of digital health technologies (DHT) for children poses specific challenges. This chapter explores the technical, ethical and societal challenges associated with the development and use of DHT in children. The technical challenges are linked to the fact that children require DHT adapted to each stage of their development, whether in physical terms (miniaturisation of devices), cognitive terms (adapted interfaces) or emotional terms. The ethical challenges are linked to respect for children's rights. The aim is to ensure that, even though they represent a small market for manufacturers, children benefit from DHT developed specifically for them; that these DHTs do not present a risk to the development of their autonomy and mental well-being; and that they do not increase inequalities in their access to care. Finally, the societal challenges concern the impact of digital health on physician–child–parent relationships, and on climate change, of which children are currently the first victims. In conclusion, as children cannot defend their rights alone, it is up to parents, healthcare professionals, learned societies, legislators and regulators to understand and anticipate these challenges, and to ensure that children have access to DHTs adapted to their needs.

      Cite as: Drummond D, Gonsard A, Robinson PD. Digital respiratory medicine for children and young people. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 122–131 [https://doi.org/10.1183/2312508X.10001323].

    5. Page 132
      Abstract
      Corresponding author: Francisco Lupiáñez-Villanueva (flupianez@uoc.edu)

      The European Union digital health market is heterogeneous with a lack of free flow of health data and varying development levels across Member States. Existing regulatory policies – the Cross-Border Healthcare Directive, the General Data Protection Regulation and the Medical Device Regulation – have only partially addressed interoperability, harmonisation, governance and safety barriers to a homogeneous market with equitable healthcare. Policy proposals like the Data Governance Act, Data Act, the Artificial Intelligence Act, and the European Health Data Space (EHDS) seek to provide a framework for creating a single health data space. Potential policy benefits include digital health market growth, substantial savings, greater research and development data quality and access, and better inter-state policy coordination in health emergencies. Potential challenges include the lack of clarification on natural rights for patients, cybersecurity standards for stakeholders, and harmonised cross-border interoperability standards. In pursuing an EHDS, stakeholders must ensure that Member States support the democratisation of digital health technology and data access. This will require a common strategy ensuring citizen agency, public engagement, interoperability and data quality.

      Cite as: Sunyer-Vidal J-G, Rodes M, Lupiáñez-Villanueva F. Policy context for digital transformation: benefits and challenges of implementing EU digital health regulation. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 132–141 [https://doi.org/10.1183/2312508X.10001423].

    6. Page 142
      Abstract
      Corresponding author: Zerina Lokmic-Tomkins (zerina.tomkins@monash.edu)

      Planetary health connects human health to surrounding natural systems reliant on preserving nine planetary boundaries. Excessive fossil-fuel use, plastic consumption and our lifestyles have led to environmental pollution, pushing climate change, biodiversity loss, freshwater availability, disrupted nutrient cycles and land use into an uncertain future. Climate change affects respiratory health through increased air pollution, allergen level changes, extreme heat, more frequent bushfires and changes in vector-borne disease distribution. Communities and healthcare systems require innovative solutions to address these challenges. Digital health interventions hold great promise as they support respiratory care by improving access to care, more personalised healthcare plans, therapy adherence, remote monitoring, risk identification and patient education. However, while technologies such as electronic medical records and telemedicine can reduce healthcare emissions, they also contribute to environmental pollution. By designing and delivering digital health services with reduced greenhouse gas emissions, environmentally sustainable production and responsible recycling, a balance between safe quality care and minimal environmental impact is possible.

      Cite as: Lokmic-Tomkins Z, Davies S, Bhandari D, et al. Interconnectedness of digital health, climate change and respiratory care: navigating an environmentally sustainable path forward. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 142–159 [https://doi.org/10.1183/2312508X.10001523].

    1. Page 160
      Abstract
      Corresponding author: Vitalii Poberezhets (poberezhets_vitalii@vnmu.edu.ua)

      The coronavirus disease 2019 (COVID-19) pandemic has necessitated the implementation of digital health solutions to alleviate the strain on healthcare systems. The chapter provides an overview of digital tools that presented the best potential in improving healthcare for patients during the COVID-19 pandemic. We provide an overview of successful examples of solutions for pandemic surveillance, remote monitoring and big data analysis. Syndromic surveillance for COVID-19 is also discussed. Each of the described digital solutions has the potential to improve diagnostics, clinical prediction, prevention and control, estimation of risks and monitoring of patients. Despite many advances in implementing such solutions into routine healthcare, there are a number of obstacles and concerns, which are highlighted in this chapter. We also provide practical tips for healthcare providers regarding the use and implementation of these solutions in real-life practice.

      Cite as: Poberezhets V, Kasteleyn MJ, Aardoom JJ. The use of digital health solutions for COVID-19: pandemic surveillance, remote monitoring and big data. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 160–169 [https://doi.org/10.1183/2312508X.10001623].

    2. Page 170
      Abstract
      Corresponding author: Helen Stagg (helen.stagg@lshtm.ac.uk)

      Tuberculosis (TB) kills over 1.5 million people every year, particularly in low- and middle-income countries. Despite recent advances, regimens are at least several months in length, which can be problematic for people with TB. In the last decade, digital adherence technologies (DATs) have been used both to monitor and to promote dose taking. As interventions, DATs can be reminders for dose taking and generate digital dosing histories to help triage patients. The evidence for DATs improving treatment outcomes as a result of improving adherence is mixed. Emerging evidence suggests that people with TB value DAT functions that foster a feeling of being “cared for” by the health system. DATs should be embedded within, rather than used as the sole replacement for, comprehensive care packages. As monitors of dose taking, DATs provide rich dose-by-dose datasets for use in research and allow greater empowerment of people with TB than the directly observed therapy used previously. They may, however, not be a perfect proxy for adherence.

      Cite as: Fielding KL, Subbaraman R, Khan A, et al. The use of digital technologies in adherence to anti-tuberculosis treatment. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 170–184 [https://doi.org/10.1183/2312508X.10002223].

    3. Page 185
      Abstract
      Corresponding author: Amy Hai Yan Chan (a.chan@auckland.ac.nz)

      Digital technologies are increasingly used to support asthma management and improve medication adherence. Evidence shows that digital adherence interventions can have important benefits on medication adherence and outcomes. While there remain some uncertainties about how best to implement digital interventions into everyday practice and whether digital interventions are cost-effective and acceptable to end users, digital interventions are likely to bring significant benefits for patients, health professionals and society. Interventions include digital inhalers and spacers, self-management apps, web interventions, telehealth and text message services. Interventions vary in functionality, maturity of the technology, and the amount of evidence supporting their use. Careful selection of the digital intervention that is best suited for the patient's asthma needs, lifestyle, abilities and preferences is important to ensure successful implementation. Ongoing evaluation of the rapidly evolving technology and long-term benefits they bring is needed to support sustained adoption and engagement. Further research into the added value of digital adherence interventions in practice is needed.

      Cite as: Chan AHY, van Boven JFM. Digital adherence interventions for asthma. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 185–198 [https://doi.org/10.1183/2312508X.10001823].

    4. Page 199
      Abstract
      Corresponding author: Hilary Pinnock (hilary.pinnock@ed.ac.uk)

      People with asthma learn to live with their condition, taking day-to-day decisions about their self-management. Professional support for self-management increasingly incorporates digital healthcare technology in strategies known to improve asthma control and reduce the risk of attacks. Digital technology, including artificial intelligence, can (and increasing will) contribute to all aspects of the “assess–adjust–review” cycle of personalised asthma (self)-management. Specific digital contributions to supported self-management include improving adherence to routine medication, checking and correcting inhaler technique, monitoring asthma status, predicting risk, providing timely advice via interactive action plans, enabling remote communication, avoiding triggers and changing lifestyle behaviours. Implementation of digital healthcare is a priority for professionals and healthcare systems but raises the challenges of enabling connected integrated systems and avoiding increasing inequities, and will require policy decisions on infrastructure and funding.

      Cite as: Pinnock H, McClatchey K, Hui CY. Supported self-management in asthma. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 199–215 [https://doi.org/10.1183/2312508X.10001723].

    5. Page 216
      Abstract
      Corresponding author: Rebecca Disler (rebecca.disler@monash.edu)

      COPD is a common progressive respiratory condition, representing 3.9% of global disease burden. Symptoms include difficult breathing, frequent exacerbations, reduced functional status and impaired quality of life. Telehealth care, including synchronous and asynchronous modalities, and digitally supported self-management, provides an opportunity for more efficient, flexible and personalised care approaches. Current evidence for the benefits of telehealth care in COPD is unclear due to small participant numbers and heterogeneous interventions. Some evidence suggests that telehealth can reduce re-admission rates but impact on exacerbations and quality of life remains unclear. There is also little evidence that digitally supported self-management improves outcomes in COPD. The use of telehealth in managing comorbid anxiety and depression is still an emerging area of research, and any benefits in advanced care planning and palliative care are yet to be clearly demonstrated. There is little evidence to suggest that telehealth interventions cause harm, although studies have not routinely collected adverse event information. Despite the limitations of the current evidence base, telehealth may provide an exciting opportunity to meet the complex health needs of people with COPD, and future exploration of the potential benefits and patient perspectives is warranted.

      Cite as: Disler R, Ly L, Carter D, et al. Telehealth in COPD. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 216–228 [https://doi.org/10.1183/2312508X.10002023].

    6. Page 229
      Abstract
      Corresponding author: Eline Meijer (e.meijer@lumc.nl)

      Mobile smoking-cessation apps are widely available. Apps of good quality are based on smoking-cessation guidelines and/or behaviour-change techniques, and ideally should be proven effective in improving smoking-cessation outcomes. Mobile interventions using text messages are effective in improving outcomes, while internet-based interventions are moderately effective. Some smoking-cessation apps show a positive effect on smoking-cessation outcomes, especially among users who use the app as intended. Combining digital interventions with usual smoking-cessation support appears beneficial and feasible, but evidence on effectiveness is mixed. Relatively little is known about using digital approaches to support smoking cessation in people with COPD. Novel developments in digital smoking-cessation support include use of artificial intelligence and conversational agents.

      Cite as: Meijer E, Mansour MBL. Digital approaches to smoking cessation. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 229–235 [https://doi.org/10.1183/2312508X.10001923].

    7. Page 236
      Abstract
      Corresponding author: Johan Verbraecken (johan.verbraecken@uza.be)

      Extensive literature is available regarding the use of telemedicine for continuous positive airway pressure treatment and monitoring in adults. Telemedicine is less well developed in children and for other sleep disorders. Remote consultations are considered part of the telemedicine model. These consultations can be used for screening or diagnosis, and allow the incorporation of questionnaires, but they can also be used for the communication of test results and treatment options, for tele-education and for follow-up. There is also evidence that cognitive behavioural therapy for insomnia can be successfully offered via remote consultations. A remote approach can enable earlier access to sleep professionals, but also saves travel time and costs, with less missed work/school time. Overall, the use of remote consultation helps increase the value of healthcare delivery and has high satisfaction rates.

      Cite as: Fauroux B, Bonsignore MR, Verbraecken J. Remote consultations in sleep disorders. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 236–249 [https://doi.org/10.1183/2312508X.10002323].

    8. Page 250
      Abstract
      Corresponding author: Stéphanie Bui (stephanie.bui@chu-bordeaux.fr)

      In patients with cystic fibrosis (CF), it is essential that pulmonary exacerbations are treated at a very early stage in order to reduce loss of lung function, morbidity and mortality. Remote monitoring of respiratory symptoms and lung function using connected devices at home provides patients with CF with additional support between visits to CF centres, and could improve the healthcare system overall. Numerous studies have demonstrated the feasibility and reliability of telemonitoring in children and adults with CF. Nevertheless, its usefulness in current practice is still debated. It is important to identify barriers that may reduce adherence to remote monitoring and undermine its effectiveness in reducing lung function decline. The advent of new modulator therapies for CF has changed the paradigm and organisation of care, and remote monitoring may reduce disease burden, while ensuring stable lung function.

      Cite as: Bui S, Galodé F, Macey J, et al. Remote monitoring in children and adults with cystic fibrosis. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 250–260 [https://doi.org/10.1183/2312508X.10002423].

    9. Page 261
      Abstract
      Corresponding author: Emily Hume (e.c.hume@northumbria.ac.uk)

      Pulmonary rehabilitation (PR) is an evidence-based and cost-effective treatment to improve exercise capacity, quality of life and symptom management in patients with chronic respiratory disease. However, it is significantly underutilised worldwide. Telerehabilitation has been recommended as a potential solution to address barriers to traditional PR and can be delivered via telephone, videoconferencing and web/app programmes, and may incorporate remote monitoring of physiological parameters. Although the use of telehealth drastically increased during the coronavirus disease 2019 pandemic and evidence suggests that telerehabilitation may achieve similar benefits to centre-based PR, the certainty of the evidence is limited. Additionally, there are a number of patient, health professional and system-level barriers that may hinder implementation in clinical services. To facilitate adoption of telerehabilitation in clinical services, high-quality clinical trials evaluating the effectiveness, safety and cost-effectiveness compared with centre-based PR programmes are needed, as well as the development of evidence-based clinical guidelines for implementation and quality assurance.

      Cite as: Hume E, Megaritis D, Vogiatzis I. Telerehabilitation in chronic respiratory disease. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 261–275 [https://doi.org/10.1183/2312508X.10002123].

    10. Page 276
      Abstract
      Corresponding author: Guillaume Chassagnon (guillaume.chassagnon@aphp.fr)

      In the past few years, many tools using artificial intelligence (AI) have been developed for medical image analysis, especially in thoracic imaging. In this chapter, we review the main potential applications of AI for interstitial lung disease (ILD) analysis on chest computed tomography (CT). Most of the published works have focused on severity assessment which relies on ILD quantification. Textural analysis and more recently deep learning tools have been developed to quantify ILD. These tools have been used to show the relationship between ILD extent and functional impairment or outcome. AI has also been used to diagnose ILD on chest CT and for pattern recognition. Finally, some work has evaluated the contribution of AI for ILD monitoring, either by studying changes in ILD extent or by studying fibrosis-related lung shrinking. Although much research has been conducted on AI for ILD, the use of AI remains limited in clinical practice; however, the transition from research to practice is expected.

      Cite as: Chassagnon G, Marini R, Canniff E, et al. Artificial intelligence for interstitial lung disease assessment on chest CT. In: Pinnock H, Poberezhets V, Drummond D, eds. Digital Respiratory Healthcare (ERS Monograph). Sheffield, European Respiratory Society, 2023; pp. 276–286 [https://doi.org/10.1183/2312508X.10002523].