"The Xenen LightStrike" Design Summary & Analysis - Draft 4
Students
from Case Western Reserve University claimed in a report, "5 Medical
Robots..." (2020), that there are several advantages to designing medical
robots for use in healthcare. All the robots in this list are currently
implemented in hospitals to "improve the quality of care and
outcome."
In
their specifically designed fields, the da Vinci Surgical robot and the
CyberKnife both provide the highest precision available to their users. The da
Vinci robot is mainly used for routine surgery by surgeons, while the
CyberKnife is specially used to treat tumors in much-extended areas, especially
areas where surgery is complex. The Xenex Germ-Zapping robot is another example
of improving "quality". It is intended to disinfect hospital rooms
automatically within minutes, effectively killing a wide variety of infectious
bacteria in the process. The following medical robot, the PARO, which is an
interactive therapeutic robot that comes in a form of an adorable animal, has
shown to relieve stress and provide elderly patients with psychological and
emotional comfort. Finally, the TUG is an autonomous mobile robot that
transports medical supplies to areas where they are required within the
hospital. It decreases manual workload, and as a result, increases the productivity
of hospital workers.
All
robots should be designed to achieve a specific outcome for consumers in the
relevant field. However, very few robots can benefit both the target consumers
and the general market. To benefit a wider range of audiences, the product
should specialize in one area which can have different uses. During this
crucial time of the Covid-19 pandemic, a medical robot such as the Xenex
Germ-Zapping robot is a great example for improvement to “quality of care and
outcome” in hospitals. As the robot is designed with high-intensity UV light,
its main purpose is to eliminate pathogens. However, the wavelengths of UV
light can be altered to have different purposes. Thus, the robot is able to
serve its intended purpose and is able to achieve different results when
specially designed for other consumers.
The
improvement of care and outcome, provided by the Xenex Germ-Zapping robot, is
the result of implementing ultraviolet (UV) rays to eliminate pathogens that
linger even after manual cleaning. The company Xenex, which specializes in
utilizing Xenon light, came up with an ingenious solution, Xenex LightStrike
(XENEX Germ-Zapping Solutions, 2020). The Xenex LightStrike is designed to
automatically disinfect hospital-acquired infections (HAIs) using pulsed,
full-spectrum UV rays that are lethal to microorganisms, which effectively
kills a wide variety of infectious bacteria. In the article, “Deactivation of
SARS-CoV-2…” (2020, August 3), a group of researchers from Texas BioMed
followed up with a series of tests. Time-based exposure of UV rays on specific
materials was carried out to prove the efficacy of the pulsed-xenon ultraviolet
(PX-UV) device. The PX-UV device showed that there was a significant reduction
of viral load under longer durations. The researchers concluded that “PX-UV
devices are a promising technology", which effectively can "enhance
both healthcare worker and patient safety” (Simmons et. al., 2020).
Currently,
the world is affected by Covid-19 and the Xenex LightStrike is proving to be an
efficacious solution for the consumers of this robot. The disinfecting duration
has been reduced tremendously and the outcome after implementing the robot
showed that up to 99.99% of the pathogens were eliminated in the
process. According to the article, “Xenex LightStrike Germ-Zapping…”
(2020), hospitals have published studies in the “significant reduction in their
infection rates” after acquiring the robot. Furthermore, Singapore’s leading
medical institution, Singapore General Hospital (SGH), has officially
implemented the use of the Xenex LightStrike robots within the hospital after a
lengthy trial period of eight months from March 2020. Despite the current
pandemic, the healthcare industry such as SGH, trusts that the robot will
continue to “provide assurance and protection to the patients and staff”. Thus,
this increases the robot’s credibility that it will continue to aid hospitals
in providing quality care for their patients and medical workers.
In
conclusion, there are many publications (Morikane, K, et al., 2020; Guijuan, L,
et al., 2020; Schaffzin, J.K., et al., 2020) that state how a medical robot
such as the Xenen LightStrike is effective to a great extent. Based on the
advanced technological design and features, this robot may prove far more
capable than just improving the quality of care for the affected within
hospitals. Other industries, aside from the healthcare sector, should implement
this robot in other areas to reap similar results.
References
BioSpectrumAsia.
(2020, May 29). Xenex LightStrike Germ-Zapping Robots deactivate
SARS-CoV-2. Retrieved from https://www.biospectrumasia.com/news/27/16026/xenex-lightstrike-germ-zapping-robots-deactivate-sars-cov-2-.html.
Case
School of Engineering/Case Western Reserve University. (2020, December
28). 5 Medical Robots Making a Difference. Retrieved
from https://online-engineering.case.edu/blog/medical-robots-making-a-difference.
Simmons,
S.E., Carrion, R., Jr, Alfson, K.J., Staples, H.M., Jinadatha, C., Jarvis,
W.R., Sampathkumar, P., Chemaly, R.F., Khawaja, F., Povroznik M., Jackson, S.,
Kaye, K.S., Rodriguez, R.M. & Stibich, M.A. (2020, August 3). Deactivation
of SARS-CoV-2 with pulsed-xenon ultraviolet light: Implications for
environmental COVID-19 control. Infection Control & Hospital
Epidemiology, 42(2), 127-130. http://doi.org/10.1017/ice.2020.399.
Xenex
UV Disinfection (2020, December 15). LightStrike Robot. Retrieved
from https://xenex.com/light-strike/.
Thanks for the revision, Richard.
ReplyDeleteDo take note that this in-text citation info -- the authors' names -- must be listed within the parentheses in alphabetical order:
... (Morikane, K, et al., 2020; Guijuan, L, et al., 2020; Schaffzin, J.K., et al., 2020) .... >
(Guijuan et al., 2020; Morikane et al., 2020; Schaffzin, et al., 2020)