Evidence map›Paper›PMID 39347511›Full record

ArticleDigital health

The evolving reality of digital health.

Nana Bit-Avragim, Jean Bousquet, Stefano Cantù, Stefano Omboni, Elisabetta Ravot, Paul Tunnah

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Nana Bit-AvragimEIT Health, Munich, Germany.
Jean BousquetInstitute of Allergology, Charité Universitétsmedizin, Berlin, Germany.
Stefano CantùIndependent Consultant, Milan, Italy.
Stefano OmboniItalian Institute of Telemedicine, Solbiate Arno (Varese), Italy.
Elisabetta RavotEVERSANA INTOUCH Healthware, Milan, Italy.
Paul TunnahIndependent Consultant, Ascot, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myriad digital health interventions, applications, devices and technologies have, and are, being developed to help refine and personalise medicine from the patient, healthcare professional (HCP), healthcare system and industry perspectives. At a gathering of leaders in digital health, discussion included the current landscape of such digital health tools (DHTs), with specific examples from cardiology and respiratory medicine, and both the benefits and sometime downfalls of such tools. While DHTs can help patients and HCPs detect and monitor health conditions, the experts discussed how adoption of DHTs may be hampered by issues such as access to technology; data privacy and security concerns; technology integration into current healthcare systems; cost and reimbursement; and lack of guidelines and regulatory hurdles. The experts suggested solutions to such issues, including wider availability of healthcare 'booths' local to a patient; easy to understand and use phone applications; patient and HCP incentives to use DHTs and clear paths to adoption within a healthcare system. These should help with integration of DHTs into the healthcare system to aid shared decision-making and, ultimately, streamline and personalise healthcare for all.

Indexed as

Digital health toolselectronic health recordshealth services accessibilitymobile applicationspatient participationspersonalized medicinetechnologytelemedicinewearable devices

Identifiers

PMID39347511
PMCPMC11437555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.