Evidence map›Paper›PMID 39322260›Full record

ReviewEuropean respiratory review : an official journal of the European Respiratory Society2024

Digital health delivery in respiratory medicine: adjunct, replacement or cause for division?

Ciara Ottewill, Margaret Gleeson, Patrick Kerr, Elaine Mac Hale, Richard W Costello

Abstract readReview
In one paragraph

Review in European respiratory review : an official journal of the European Respiratory Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Implementing acute exacerbations of COPD care bundles: evidence, effectiveness and future directions.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ciara OttewillDepartment of Respiratory Medicine, Beaumont Hospital and RCSI University of Medicine and Health Science, Dublin, Ireland.ORCID https://orcid.org/0000-0002-5934-6802
Margaret GleesonDepartment of Respiratory Medicine, Beaumont Hospital and RCSI University of Medicine and Health Science, Dublin, Ireland.
Patrick KerrDepartment of Respiratory Medicine, Beaumont Hospital and RCSI University of Medicine and Health Science, Dublin, Ireland.
Elaine Mac HaleDepartment of Respiratory Medicine, Beaumont Hospital and RCSI University of Medicine and Health Science, Dublin, Ireland.
Richard W CostelloDepartment of Respiratory Medicine, Beaumont Hospital and RCSI University of Medicine and Health Science, Dublin, Ireland rcostello@rcsi.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital medicine is already well established in respiratory medicine through remote monitoring digital devices which are used in the day-to-day care of patients with asthma, COPD and sleep disorders. Image recognition software, deployed in thoracic radiology for many applications including lung cancer screening, is another application of digital medicine. Used as clinical decision support, this software will soon become part of day-to-day practice once concerns regarding generalisability have been addressed. Embodied in the electronic health record, digital medicine also plays a substantial role in the day-to-day clinical practice of respiratory medicine. Given the considerable work the electronic health record demands from clinicians, the next tangible impact of digital medicine may be artificial intelligence that aids administration, makes record keeping easier and facilitates better digital communication with patients. Future promises of digital medicine are based on their potential to analyse and characterise the large amounts of digital clinical data that are collected in routine care. Offering the potential to predict outcomes and personalise therapy, there is much to be excited by in this new epoch of innovation. However, these digital tools are by no means a silver bullet. It remains uncertain whether, let alone when, the promises of better models of personalisation and prediction will translate into clinically meaningful and cost-effective products for clinicians.

Indexed as

Electronic Health RecordsArtificial IntelligenceDelivery of Health Care, IntegratedDiffusion of InnovationDigital HealthHumansPredictive Value of TestsPulmonary MedicineTelemedicine

Identifiers

PMID39322260
PMCPMC11423130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.