Implementation of digital home monitoring of respiratory disease and management

Hilary Pinnock, Chi yan Hui, Job F.M. van Boven

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

PURPOSE OF REVIEW: Digital respiratory monitoring interventions (e.g. smart inhalers and digital spirometers) can improve clinical outcomes and/or organizational efficiency, and the focus is shifting to sustainable implementation as an approach to delivering respiratory care. This review considers key aspects of the technology infrastructure, discusses the regulatory, financial and policy context that influence implementation, and highlights the over-arching societal themes of equity, trust and communication.

RECENT FINDINGS: Technological requirements include developing interoperable and connected systems; establishing stable, wide internet coverage; addressing data accuracy and monitoring adherence; realising the potential of artificial intelligence; and avoiding clinician data overload. Policy challenges include concerns about quality assurance and increasingly complex regulatory systems. Financial barriers include lack of clarity over cost-effectiveness, budget impact and reimbursement. Societal concerns focus on the potential to increase inequities because of poor e-health literacy, deprivation or lack of available infrastructure, the need to understand the implications for patient/professional interactions of shifting care to remote delivery and ensuring confidentiality of personal data.

SUMMARY: Understanding and addressing the implementation challenges posed by gaps in policy, regulatory, financial, and technical infrastructure is essential to support delivery of equitable respiratory care that is acceptable to patients and professionals.

Original languageEnglish
Pages (from-to)302-312
Number of pages11
JournalCurrent opinion in pulmonary medicine
Issue number4
Early online date3 May 2023
Publication statusPublished - 1 Jul 2023

Keywords / Materials (for Non-textual outputs)

  • Artificial Intelligence
  • Communication
  • Humans
  • Respiratory Tract Diseases


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