A train-and-assist device that upskills novices to strengthen the workforce and expand diagnostic access

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Artificial intelligence and automation technologies are displacing millions of workers across industries in developed countries, while many developing nations continue to grapple with chronically high unemployment. Meanwhile, healthcare laboratories—particularly in resource-limited settings (including rural and community sites within high-income countries)—face acute shortages of trained staff and the high cost of molecular diagnostics. Here, we propose a “train-and-assist” class of devices that aims to both (i) upskill—rather than replace—workers and (ii) expand diagnostic capacity in a cost-effective way. We describe a device that trains and assists laboratory-inexperienced personnel to perform sample-pooling procedures, which enable high-performance molecular testing at lower costs and higher throughput. A 48-participant user study demonstrated that the device enabled both skill acquisition and high-accuracy pooling. A device-validation study using clinical stool specimens demonstrated that device-assisted pooling agreed 100% with individual assays for soil-transmitted helminths, which affect more than 1.5 billion people worldwide.

Teaser

We propose a new class of technologies that train and assist personnel to learn skills for complex laboratory tasks, with the goal of strengthening the diagnostics workforce and expanding healthcare access.

Article activity feed