Evidence map›Paper›PMID 39356287›Full record

ReviewJournal of medical Internet research2024

The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research.

Charlotte Köhler, Alexander Bartschke, Daniel Fürstenau, Thorsten Schaaf, Eduardo Salgado-Baez

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Awareness and Use of the Ultraviolet Index Among U.S. Adults.Health education & behavior : the official publication of the Society for Public Health Education · 2026
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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

5 authors.

Charlotte KöhlerDepartment for Data Science & Decision Support, European University Viadrina, Frankfurt (Oder), Germany.ORCID 0000-0002-1240-9335
Alexander BartschkeCore Unit Digital Medicine & Interoperability, Berlin Institute of Health @ Charité, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5849-482X
Daniel FürstenauInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0001-8490-7707
Thorsten SchaafInstitute of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-5481-0928
Eduardo Salgado-BaezCore Unit Digital Medicine & Interoperability, Berlin Institute of Health @ Charité, Charité - Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0003-2207-8493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a categorization of smartwatch use in the health care sector into 3 key functional domains: monitoring, nudging, and predicting. Monitoring involves using smartwatches within medical treatments to track health data, nudging pertains to individual use for health purposes outside a particular medical setting, and predicting involves using aggregated user data to train machine learning algorithms to predict health outcomes. Each domain offers unique contributions to health care, yet there is a lack of nuanced discussion in existing research. This paper not only provides an overview of recent technological advancements in consumer smartwatches but also explores the 3 domains in detail, culminating in a comprehensive summary that anticipates the future value and impact of smartwatches in health care. By dissecting the interconnected challenges and potentials, this paper aims to enhance the understanding and effective deployment of smartwatches in value-based health care.

Indexed as

Machine LearningWearable Electronic DevicesHealth Care SectorHumansconsumer devicesmobile phonemonitoringnudgingpredictingsmartwatchesvalue-based health care

Identifiers

PMID39356287
PMCPMC11549588

What Socratic 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 Socratic graph.