Title: Insulin Patch Pumps Market: ML & AI Transforming Diabetes Care For Better
1Insulin Patch Pumps Market ML AI Transforming
Diabetes Care For Better
Insulin patch pumps are small, wearable
devices that deliver insulin to diabetic
patients continuously. They are a relatively new
technology that has gained popularity in recent
years owing to their ability to provide more
accurate and convenient insulin delivery. The
insulin patch pumps market has grown
rapidly with the increasing diabetic
population and technological advancements. Acco
rding to Inkwood Research, the global
insulin patch pumps market is expected
to reach 2760.98 million by 2032, growing
at a 10.63 CAGR during the forecasted
period, 2023 to 2032.
2- Evolution of Insulin Patch Pumps Battery-Powered
to Automation - According to the National Library of
Medicine, in 1976, Dean Kamen designed the
first wearable insulin pump, known as the
blue brick and later as the
Autosyringe, which facilitated the
introduction of insulin pump therapy
that same year. In 1979, the first SOOIL
insulin pump was clinically evaluated at
Seoul National University Hospital. In 1983,
MiniMed introduced its first insulin
pump, MiniMed 502. This system soon
underwent significant improvements in size
and programmability and thus represented a
major technologic breakthrough in the evolution
of insulin pumps. - The new generation external pumps, released in
the 1990s, are comparatively compact and - effective. These smart pumps have features
such as built-in bolus calculators, personal
computer interfaces, and alarms. The currently
popular insulin pump models on the global
market are TSlim from Tandem, Medtronic MiniMed,
Accu-Chek Solo Micropump from Roche, OmniPod from
Insulet, SOOILs DANA R, etc. - Now, toward the advent of Machine Learning
and Artificial Intelligence in Diabetes Care - In the last few years, the healthcare industry
has witnessed an unprecedented surge in using - machine learning (ML) and artificial intelligence
(AI) in medical devices. Insulin patch pumps - have been a significant area where these
technologies have played crucial roles, including
enhanced efficient care, reduced medical
errors, and improved patient outcomes. - Accordingly, major market leaders and
medical professionals have welcomed the
advent of machine learning and artificial
intelligence in insulin patch pumps. - In March 2020, Companion Medical launched its
InPen system, a smart insulin pen that tracks
insulin dosages, glucose levels, and carbohydrate
intake. The InPen system
3- uses machine learning algorithms to
analyze data from continuous glucose
monitoring (CGM) systems and provide personalized
insulin recommendations. - In May 2020, Medtronic launched its MiniMed 780G
system, an advanced insulin patch - pump that uses artificial intelligence
to automate insulin dosing. The MiniMed
780G system has a built-in algorithm that adjusts
insulin delivery systems based on the patients
glucose levels, providing more accurate and
personalized insulin therapy. - The impact of these devices on the healthcare
industry has been significant. Providing precise - and efficient insulin delivery has helped
reduce the risk of hypoglycemia, improve
patient - outcomes, and minimize the burden on healthcare
providers. Moreover, ML and AI algorithms have
the potential to revolutionize the field of
diabetes care and pave the way for more
personalized and precise treatments. - However, using machine learning and artificial
intelligence in insulin patch pumps has also
raised data privacy and security concerns.
Insulin patch pumps collect a vast amount
of sensitive patient data, including glucose
levels, insulin dosages, and other
health-related information. This data needs to be
protected from cyber threats and unauthorized
access. - To address these concerns, insulin patch
pump manufacturers have implemented strict
data privacy policies and taken measures to
ensure the security of patient data. - Companion Medicals InPen system encrypts patient
data and only allows authorized users to access
it. - Medtronics MiniMed 780G system has several
layers of security, including encryption, - authentication, and monitoring, to protect
patient data. - Despite these efforts, some experts remain
skeptical of using ML and AI in medical devices. - Some have raised concerns about the accuracy and
reliability of these algorithms and the potential
for bias in their decision-making. Others
have argued that the use of these
technologies could lead to a reduction in the
human touch in healthcare, thus undermining the
doctor-patient relationship.
4The use of technology to assist those with
Type 1 Diabetes has failed to accomplish
its ultimate goal of improving glycemic
control. However, early results from applying
Artificial Intelligence principles for patients
under Metered Dose Inhaler (MDI) therapy in the
form of Acquired Demyelinating Syndrome (ADS)
show the potential to close this gap (Source).
Furthermore, Continuous Glucose Monitoring
(CGM) technology and smart pens with
Bluetooth capabilities could make incorporating
technology easier and reduce patient burden. It
is expected that adoption in this field will
continue growing in the next few years so that
everyone with diabetes can reap the
advantages of automation and AI. These
factors are expected to boost the global insulin
patch pumps market during the forecast
period. By Sukanya Mukherjee FAQs What are
some key drivers of the global insulin patch
pumps market? The growing prevalence of diabetes
among people, technological advancements in the
insulin patch pumps, and the rising awareness
regarding patch pumps are some key drivers of the
global insulin patch pumps market. Which trends
are projected to direct the global insulin patch
pumps growth?? The rising occurrence of
diabetes, growing healthcare awareness, advances
in technology in insulin delivery systems, and
growing research and development trends are
projected to direct the global insulin patch
pumps growth.