Evidence map›Paper›PMID 35632317›Full record

ArticleSensors (Basel, Switzerland)2022

Performance and Usability Evaluation of an Extended Reality Platform to Monitor Patient's Health during Surgical Procedures.

Pasquale Arpaia, Egidio De Benedetto, Lucio De Paolis, Giovanni D'Errico, Nicola Donato, Luigi Duraccio

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Evaluation of IMPALA 2.0: Addressing Patient Monitoring in Low-Resource Hospitals in Malawi.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  4. 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 at 4 institutions in 1 country.

Pasquale ArpaiaInterdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0002-5192-5922
Egidio De BenedettoInterdepartmental Research Center in Health Management and Innovation in Healthcare (CIRMIS), University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0002-2792-2131
Lucio De PaolisDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0003-1274-9070
Giovanni D'ErricoDepartment of Applied Science and Technology, Polytechnic University of Turin, 10129 Turin, Italy.ORCID 0000-0003-1415-0731
Nicola DonatoDepartment of Engineering, University of Messina, 98122 Messina, Italy.ORCID 0000-0002-1554-2182
Luigi DuraccioDepartment of Electronics and Telecommunications, Polytechnic University of Turin, 10129 Turin, Italy.ORCID 0000-0002-1356-5559
Politecnico di Torino · ITUniversity of Naples Federico II · ITUniversity of Messina · ITUniversity of Salento · IT

Funding

Ministero dell'Università e della Ricerca, Italy Italian Budget Law no. 232/2016
6 · The paper itself

Abstract

An extended-reality (XR) platform for real-time monitoring of patients' health during surgical procedures is proposed. The proposed system provides real-time access to a comprehensive set of patients' information, which are made promptly available to the surgical team in the operating room (OR). In particular, the XR platform supports the medical staff by automatically acquiring the patient's vitals from the operating room instrumentation and displaying them in real-time directly on an XR headset. Furthermore, information regarding the patient clinical record is also shown upon request. Finally, the XR-based monitoring platform also allows displaying in XR the video stream coming directly from the endoscope. The innovative aspect of the proposed XR-based monitoring platform lies in the comprehensiveness of the available information, in its modularity and flexibility (in terms of adaption to different sources of data), ease of use, and most importantly, in a reliable communication, which are critical requirements for the healthcare field. To validate the proposed system, experimental tests were conducted using instrumentation typically available in the operating room (i.e., a respiratory ventilator, a patient monitor for intensive care, and an endoscope). The overall results showed (i) an accuracy of the data communication greater than 99 %, along with (ii) an average time response below ms, and (iii) satisfying feedback from the SUS questionnaires filled out by the physicians after intensive use.

Indexed as

Operating RoomsHumansaugmented realityextended realityHealth 4.0healthcarehololens 2medical equipmentreal-time monitoringremote monitoringsurgeryuncertaintyXR

Identifiers

PMID35632317
PMCPMC9143436
OpenAlexW4281257155

What OpenQuestion holds

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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.