Healthcare Design - November 2022 - 22

FINALIST
M.O.O.D. Space
TEAM: Perkins Eastman
ON-STAGE PRESENTERS: Shayne Piltz, architectural
designer, and Bhavishya Venkitaraman, architectural designer
THE PREMISE
Almost one-quarter of adults with a mental illness
report they can't access the treatment they
need. And while virtual platforms have gained
popularity, they don't solve for the spatial design
problem of where care is received. Most patients
don't have the expertise or resources to design a
personalized therapeutic space and, more likely,
patients don't have any access to such a space at
all. That's where M.O.O.D. (Multisensory Oasis
On-Demand) Space comes in.
THE CONCEPT
M.O.O.D. Space provides refuge for immediate,
accessible mental health treatment. The adaptive,
multisensory environments adjust to a
patient's psychological needs to provide both customized
settings and services. It addresses the
spectrum of mental health conditions and treatments
by using diagnostic technology, such as
artificial intelligence (A.I.), to evaluate physiologic
inputs like voice, heart rate, and blood
pressure, to recommend an individualized course
of treatment. Patients can connect with an on-call
specialist or dial into a scheduled therapy session,
and post-session evaluation provides a summary
and follow-up recommendations.
THE DETAILS
The concept identifies empty retail and office
space left vacant during the pandemic to easily
integrate the system within cities. The flexible,
prefabricated modules feature adaptable,
sustainable construction. For example, all technology
and infrastructure are built into the prefabricated
panels, such as built-in UV light units
that sanitize the space after use; an interlocking
joint assembly without permanent fasteners
that offers easy assembly, disassembly, and reuse
to eliminate waste; and a highly configurable triangular
geometry that allows the modules to be
created in various shapes and volumes to adapt
to any space.
In addition to using A.I. to recommend courses
of treatment, the modules can use the physiologic
inputs gathered to suggest multisensory
settings, adjusting light, color, sound, frequency,
touch, vibration, aroma, and temperature to
create an ideal environment for mental health
therapy to take place. This allows for customization
based on patients' preset " placelists " that
allow individuals to save favorite sensory combinations,
so units are ready for them before
entry-examples include settings for cope, calm,
focus, and uplift.
FINALIST
A.R.O.M.A.
TEAM: Memorial Sloan Kettering
Cancer Center
ON-STAGE PRESENTERS: Erica Parker, product
designer; Christopher Brause, product designer; and
Pulkit Jain, senior data engineer
THE PREMISE
Most healthcare data is collected via slow, expensive
research projects that are reactive to longexisting
health concerns, meaning communities
might experience a huge toll before anything is
learned or action taken. A.R.O.M.A. (Ambient
Robotic Olfactory Monitoring Apparatus)
proposes a preventive health tool that leverages
sensors and artificial intelligence (A.I.) to identify
outbreaks much sooner.
THE CONCEPT
A.R.O.M.A. explores machine olfaction, or the artificial
sense of smell. Using A.I., it has a vast network
of highly sensitive and precise sensor arrays
22
NOVEMBER 2022
that are embedded into its unique piping design.
These sensors are used to detect patterns and
predict the spread of harmful pathogens, pollutants,
and carcinogens in real time across various
public and private spaces. The sensor arrays exceed
the ability of humans or animals; however,
A.R.O.M.A.'s six core features are based on olfactory
systems commonly found in nature.
THE DETAILS
A.R.O.M.A. is modular to adapt to any structure
or surface, while it can expand and evolve for use
anywhere from an urban to rural environment
as well as at the community level or even for individual
detection within the home. The top is
HCDMAGAZINE.COM
distinguished by the array of robotic arms that
captures air from every direction and angle. It
circulates air down through sensors that detect
and identify contaminants or pathogens and
next to measure details like concentration of
compounds and attributes like windspeed. And
then all this information is filtered into a " brain "
or pattern recognition and prediction space that
creates a scent profile. Profiles are combined
with historical data and scientific knowledge to
monitor patterns and changes over time. This
allows A.R.O.M.A. to function as a public health
tool that identifies outbreaks before they occur
and creates a network of data that can help predict
where infection will likely spread.
http://www.HCDMAGAZINE.COM
Healthcare Design - November 2022

Table of Contents for the Digital Edition of Healthcare Design - November 2022
