Evidence map›Paper›PMID 38931564›Full record

ArticleSensors (Basel, Switzerland)2024

Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology-Lessons Learned from 10 Years of Research.

Alison Keogh, Rob Argent, Cailbhe Doherty, Ciara Duignan, Orna Fennelly, Ciaran Purcell, William Johnston, Brian Caulfield

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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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

8 authors.

Alison KeoghClinical Medicine, School of Medicine, Trinity College Dublin, Tallaght University Hospital, D24 TP66 Dublin, Ireland.
Rob ArgentInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0002-3522-9409
Cailbhe DohertyInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.ORCID 0000-0002-5284-856X
Ciara DuignanInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
Orna FennellyInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
Ciaran PurcellInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
William JohnstonInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.
Brian CaulfieldInsight Centre for Data Analytics, University College Dublin, D04 V1W8 Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare is undergoing a fundamental shift in which digital health tools are becoming ubiquitous, with the promise of improved outcomes, reduced costs, and greater efficiency. Healthcare professionals, patients, and the wider public are faced with a paradox of choice regarding technologies across multiple domains. Research is continuing to look for methods and tools to further revolutionise all aspects of health from prediction, diagnosis, treatment, and monitoring. However, despite its promise, the reality of implementing digital health tools in practice, and the scalability of innovations, remains stunted. Digital health is approaching a crossroads where we need to shift our focus away from simply looking at developing new innovations to seriously considering how we overcome the barriers that currently limit its impact. This paper summarises over 10 years of digital health experiences from a group of researchers with backgrounds in physical therapy-in order to highlight and discuss some of these key lessons-in the areas of validity, patient and public involvement, privacy, reimbursement, and interoperability. Practical learnings from this collective experience across patient cohorts are leveraged to propose a list of recommendations to enable researchers to bridge the gap between the development and implementation of digital health tools.

Indexed as

Delivery of Health CareBiomedical TechnologyHumansdigital healthinteroperabilitypatient involvementprivacyreimbursementvalidity

Identifiers

PMID38931564
PMCPMC11207951

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.