Don't forget about human factors: Lessons learned from COVID-19 point-of-care testing.

During the COVID-19 pandemic, the development of point-of-care (POC) diagnostic testing accelerated in an unparalleled fashion. As a result, there has been an increased need for accurate, robust, and easy-to-use POC testing in a variety of non-traditional settings (i.e., pharmacies, drive-thru sites, schools). While stakeholders often express the desire for POC technologies that are "as simple as digital pregnancy tests," there is little discussion of what this means in regards to device design, development, and assessment. The design of POC technologies and systems should take into account the capabilities and limitations of the users and their environments. Such "human factors" are important tenets that can help technology developers create POC technologies that are effective for end-users in a multitude of settings. Here, we review the core principles of human factors and discuss lessons learned during the evaluation process of SARS-CoV-2 POC testing.

Lessons learned from the analysis of soldier collected blast data.

In recent U.S. military experience, widespread exposure to improvised explosive devices has been implicated in noticeable changes in the incidence of brain injuries inversely related to reduced mortality--thought to be the unintended consequence of increase in exposure to blast wave effects--secondary to improved vital organ protection, improved personal protective equipment. Subsequently, there is a growing need for the development and fielding of fully integrated sensor systems capable of both capturing dynamic effects (i.e., "blast") on the battlefield--providing critical information for researchers, while providing value to the medical community and leaders--for development of pre-emptive measures and policies. Obtaining accurate and useful data remains a significant challenge with a need for sensors which feed systems that provide accurate interpretation of dynamic events and lend to an enhanced understanding of their significance to the individual. This article describes lessons learned from a data analysis perspective of a collaborative effort led by a team formed at Georgia Tech Research Institute to develop a "sensor agnostic" system that demonstrates full integration across variant platforms/systems. The system is designed to allow digital and analog time/frequency data synchronization and analysis, which facilitated the development of complex multimodal modeling/algorithms.

Assessment of workplace product accessibility: a human factors perspective.

This paper illustrates the advantages of using human factors evaluation techniques as a method of informing rehabilitation service provider decisions about client care and assistive technology selection. Successful integration of accessibility evaluation techniques can strengthen an evidence based service program and offer service providers another tool for providing efficient, effective, and rapid services to individuals in need. With accessibility evaluation data showing the functional abilities required to operate a given product or set of products, it is possible to empirically demonstrate that an individual has the potential to successfully utilize the provided workplace equipment. Conversely, if the accessibility evaluation data reveal that the functional capabilities required to use a product exceed the capabilities of a given user, it would be possible to demonstrate the need for particular interventions or accommodations. With accessibility evaluation data, service providers can make better informed decisions about client care.