Evidence map›Paper›PMID 42527502›Full record

Reviewnpj health systems2026

Enhancing the resilience of remote patient monitoring and hospital-at-home systems: a digital-twin-based framework.

Max Ostermann, Anne Sophie Platzbecker, Cindy Welzel, Stephen Gilbert, Oscar Freyer

Abstract readReview
In one paragraph

Review in npj health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Max OstermannElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany. max.ostermann@tu-dresden.de.
Anne Sophie PlatzbeckerElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Cindy WelzelElse Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Stephen Gilbert *Else Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Oscar Freyer *Else Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.

Funding

Bundesministerium für Forschung und Technologie 03ZU1210BAHORIZON EUROPE Framework Programme 101094218
6 · The paper itself

Abstract

Remote patient monitoring (RPM) enables clinical oversight of patients outside the hospital via connected devices and supporting digital infrastructure. Hospital-at-home (HaH) is a high-acuity specialization within RPM. As RPM programs expand in scale and acuity, they face significant challenges to resilience that can compromise patient safety. We propose integrating simple patient Digital Twins (DTs), which are personalized models continuously updated with real-time data, to enhance the resilience of both HaH and RPM systems by supporting informed clinical management even when primary systems are unavailable, thereby improving patient safety during periods of network or other system unavailability.

Identifiers

PMID42527502
PMCPMC13354159

What OpenQuestion holds

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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.