Evidence map›Paper›PMID 35047941›Full record

ArticleFrontiers in medical technology2021

Adaptive Manufacturing for Healthcare During the COVID-19 Emergency and Beyond.

Antoine Vallatos, James M Maguire, Nikolas Pilavakis, Gabrielis Cerniauskas, Alexander Sturtivant, Alexander J Speakman, Steve Gourlay, Scott Inglis, Graham McCall, Andrew Davie and 16 more

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2021. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

26 authors.

Antoine VallatosCentre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, Edinburgh, United Kingdom.
James M MaguireSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Nikolas PilavakisSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Gabrielis CerniauskasSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Alexander SturtivantSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Alexander J SpeakmanSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Steve GourlaySchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Scott InglisDepartment of Medical Physics, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Graham McCallAESSiS - Advanced Engineering Solutions, London, United Kingdom.
Andrew DavieDepartment of Medical Physics, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Mike BoyduCreate Studio, Main Library, University of Edinburgh, George Square, Edinburgh, United Kingdom.
Adriana A S TavaresBritish Heart Foundation/University of Edinburgh Centre for Cardiovascular Science and Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.
Connor DohertyDepartment of Medical Physics, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Sharen RobertsDepartment of Medical Physics, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Paul AitkenSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Mark MasonSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Scott CummingsSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Andrew MullenSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Gordon PatersonSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Matthew ProudfootSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Sean BradySchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Steven KestertonDepartment of Medical Physics, NHS Lothian, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Fraser QueenLomond Process Engineering, Glasgow, United Kingdom.
Steve FletcherGemini Digital Technologies, Northwich, United Kingdom.
Andrew SherlockSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.
Katherine E DunnSchool of Engineering, University of Edinburgh, Edinburgh, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the COVID-19 pandemic, global health services have faced unprecedented demands. Many key workers in health and social care have experienced crippling shortages of personal protective equipment, and clinical engineers in hospitals have been severely stretched due to insufficient supplies of medical devices and equipment. Many engineers who normally work in other sectors have been redeployed to address the crisis, and they have rapidly improvised solutions to some of the challenges that emerged, using a combination of low-tech and cutting-edge methods. Much publicity has been given to efforts to design new ventilator systems and the production of 3D-printed face shields, but many other devices and systems have been developed or explored. This paper presents a description of efforts to reverse engineer or redesign critical parts, specifically a manifold for an anaesthesia station, a leak port, plasticware for COVID-19 testing, and a syringe pump lock box. The insights obtained from these projects were used to develop a product lifecycle management system based on Aras Innovator, which could with further work be deployed to facilitate future rapid response manufacturing of bespoke hardware for healthcare. The lessons learned could inform plans to exploit distributed manufacturing to secure back-up supply chains for future emergency situations. If applied generally, the concept of distributed manufacturing could give rise to "21st century cottage industries" or "nanofactories," where high-tech goods are produced locally in small batches.

Indexed as

3D printingadditive manufactureCADCOVID-19product lifecycle managementreverse engineering

Identifiers

PMID35047941
PMCPMC8757720

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.