Evidence map›Paper›PMID 33083686›Full record

ArticleDigital biomarkers

Device- and Analytics-Agnostic Infrastructure for Continuous Inpatient Monitoring: A Technical Note.

Noé Brasier, Lukas Geissmann, Miro Käch, Markus Mutke, Bianca Hoelz, Fiorangelo De Ieso, Jens Eckstein

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Observational
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

7 authors.

Noé BrasierCMIO Research Group, D&ICT Department, University Hospital Basel, Basel, Switzerland.
Lukas GeissmannLeitwert® GmbH, Zürich, Switzerland.
Miro KächLeitwert® GmbH, Zürich, Switzerland.
Markus MutkeCMIO Research Group, D&ICT Department, University Hospital Basel, Basel, Switzerland.
Bianca HoelzCMIO Research Group, D&ICT Department, University Hospital Basel, Basel, Switzerland.
Fiorangelo De IesoCMIO Research Group, D&ICT Department, University Hospital Basel, Basel, Switzerland.
Jens EcksteinCMIO Research Group, D&ICT Department, University Hospital Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internet of healthcare things aims at connecting biosensors, clinical information systems and electronic health dossiers. The resulting data expands traditionally available diagnostics with digital biomarkers. In this technical note, we report the implementation and pilot operation of a device- and analytics-agnostic automated monitoring platform for in-house patients at hospitals. Any available sensor, as well as any analytics tool can be integrated if the application programming interface is made available. The platform consists of a network of Bluetooth gateways communicating via the hospital's secure Wi-Fi network, a server application (Device Hub) and associated databases. Already existing access points or low-cost hardware can be used to run the gateway software. The platform can be extended to a remote patient monitoring solution to close the gap between in-house treatments and follow-up patient monitoring.

Indexed as

AnalyticsDigital biomarkersMonitoringWearable sensors

Identifiers

PMID33083686
PMCPMC7548886

What OpenQuestion holds

Textmetadata
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.