1 INTRODUCTION
When we talk about interoperability, we refer to the
way in which different automated and computerized
systems can communicate with each other
automatically, without the need for the intervention
of an operator, these automated communication
tasks are translated under an application that makes
it possible for these very different systems to
communicate with each other, thanks to the different
communication protocols, It is in this line that we
present the following work to indicate the
importance, uses, applications and techniques that
govern the ecosystems of interoperability, we found
a work where the intention is to check with a low
cost system, can improve the management of
hospital services, through communication between
hospital care systems and HIS systems (Auccahuasi,
et al. 2021).
Interoperability is also reflected in the use of
biomedical and electronic devices where an
electronic part is used, i.e. implanted in the patient's
body, which replaces the biological structure of the
heart, where iEEG signals are processed and
recorded with the use of IoMT technology (Subash,
et al. 2020).
The use and exploitation of wireless technology,
in order to provide solutions to the problems related
to the health of the population. Thanks to the use of
IoMT, which is mainly related to the use of IoT
technology applied to the health sector, solutions are
being implemented in health centers, in order to
support diagnosis, optimizing medical resources,
with which security and interoperability can be
monitored, within the framework of the coexistence
between IoMT and blockchain technology (Li, et al.
2021).
In the use of IoMT technology, applied to
medical devices, which collect information about the
health of people through the internet, where data will
be obtained from patients in order to be treated, we
found works where different samples were analyzed
for the discovery of tumors by analyzing the
characteristics of images to discover their presence.
The technique uses a set of advanced features with
which brain tumors can be discovered with respect
to their developed degree, which was first validated
10 times comparing it with traditional methods such
as CART, Random Forest, Naive Bayes and
Random Tree obtaining results that reveal that the
set of features can replace traditional techniques
with an accuracy and mean F with results on a
higher performance during the evaluation (Khan, et
al. 2020).
We found works referred about accuracy and
consistency about fetal monitoring interpretation, for
which a framework for intelligent analysis and
automatic interpretation of digital cardiotocographic
signals recorded from fetal monitors based on
Internet of Medical Things (IoMT) is developed,
which implemented a method and system with
which to assess fetal conditions during pregnancy
showing accurate warning signs being used by
media centers applied in patients from home with
which the data segment is analyzed in a record by
automatic scoring functions such as Kreb's, Fischer,
classification, where the results have been compared
with the interpretations of obstetricians concluding
that the results are accurate compared to traditional
examinations (Sridhar Raj & Madiajagan, 2021).
In the use of devices related to diagnostic
assistance, we found works where an interface is
developed to send information related to heart
activity through a framework to the doctor's
workstation, under an E-health approach, with which
the reconstruction of the signals can be performed,
thus proving that the developed framework meets
the functions of interoperability, making possible the
transmission of secure medical information (Lu, Qi,
& Fu, 2019).
The use and exploitation of IoMT technology is
addressing countless limitations of traditional
healthcare systems, as well as assessing the quality
of care provided to patients, among others. With the
use of IoMT systems and interoperability,
unparalleled benefits are being realized that are
improving the quality and efficiency of treatments
and thereby improving the health of patients
(Adewole, et al. 2021).
When we address the issues of interoperability
under the IoMT approaches, it is not only to be able
to send and receive information related to the health
of patients, but it is also related to the procedures
necessary to ensure the integrity of the signals, from
sending to receiving, trying to ensure the
consistency of the data and avoid the loss that could
bring a problem related to the variation in the
signals, which would cause a bad diagnosis, we find
works where emphasis is placed on the use of
different solutions based on the detection of attacks
through the use of applications that ensure the
information sent through the IoMT protocols
(Kumar, Gupta, & Tripathi, 2021), (Alsubaei, et al.
2019).
Among the various solutions that can be
developed, these are also the use of devices that
make possible the use of emerging technology, we
find works where reference is made to the use and