Low-Cost System for Interoperability Between Outpatient Medical
Devices with Medical Records
Christian Ovalle
1
a
, Sandra Meza
2
b
, Wilver Auccahuasi
3
c
, Oscar Linares
4
d
, Kitty Urbano
5
e
,
Gabriel Aiquipa
6
f
, Yoni Nicolas-Rojas
7
g
, Aly Auccahuasi
8
h
, Tamara Pando-Ezcurra
9
i
and Karin Rojas
10
j
1
Universidad Tecnológica del Perú, Lima, Peru
2
Universidad ESAN, Lima, Peru
3
Universidad Privada del Norte, Lima, Peru
4
Universidad Continental, Huancayo, Peru
5
Universidad Científica del Sur, Lima, Peru
6
Universidad Tecnológica de los Andes, Apurímac, Peru
7
Escuela superior la Pontificia, Ayacucho, Peru
8
Universidad de Ingeniería y Tecnología, Lima, Peru
9
Universidad Privada Peruano Alemana, Lima, Peru
10
Universidad César Vallejo, Lima, Peru
kurbano@cientifica.edu.pe, gaiquipa@utea.edu.pe, yoninicolas@elp.edu.pe, aly.auccahuasi@utec.edu.pe,
tamara.pando@upal.edu.pe, krojas@ucv.edu.pe
Keywords: Devices, IOT, Signal, Message, XML.
Abstract: In these times with the evolution of technology, many solutions related to the interaction between the
different actors and systems related to the health sector are being presented, it is the case of the interactivity
between the different medical equipment and health information systems. In this paper we present a method
to apply these concepts related to interoperability between medical equipment and information systems
through the use and exploitation of IoT technology with XML messages to achieve interoperability, the
method proposes the update of medical equipment through IoT devices, to export the signals captured in
patients. The method proposes the use of a signal receiving station, which must be located in the health
center, this application is responsible for generating the XML message from the signals received and finally
the methodology proposes the exploitation of the message, by using the message with the information
systems that work the health center. As a result we indicate an example of message generation from patient
data and information that can be captured in an ambulance and finally the conclusions are related to indicate
the necessary requirements for implementation and scaling, we must indicate that throughout the work
refers to a demonstration by sending information from an ambulance.
a
https://orcid.org/0000-0002-5559-5684
b
https://orcid.org/0000-0002-4650-1340
c
https://orcid.org/0000-0001-8820-4013
d
https://orcid.org/0000-0002-7952-9518
e
https://orcid.org/0000-0003-2009-000X
f
https://orcid.org/0000-0002-3755-7393
g
https://orcid.org/0000-0001-6493-6084
h
https://orcid.org/0000-0001-5069-0415
i
https://orcid.org/0000-0003-0301-3440
j
https://orcid.org/0000-0002-6867-0778
Ovalle, C., Meza, S., Auccahuasi, W., Linares, O., Urbano, K., Aiquipa, G., Nicolas-Rojas, Y., Auccahuasi, A., Pando-Ezcurra, T. and Rojas, K.
Low-Cost System for Interoperability Between Outpatient Medical Devices with Medical Records.
DOI: 10.5220/0011962800003612
In Proceedings of the 3rd International Symposium on Automation, Information and Computing (ISAIC 2022), pages 611-617
ISBN: 978-989-758-622-4; ISSN: 2975-9463
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
611
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
ISAIC 2022 - International Symposium on Automation, Information and Computing
612
exploitation of RFID devices, as an authentication
mechanism to enter the ecosystem of the IOMT,
which ensures the integrity of the signals from the
transmitter to the receiver, and evidenced in the
display systems (Kang, et al. 2021).
After having described several works related to
the use of IoMT, IoT and RFID technologies, we
realize that more and more equipment comes with
these built-in protocols, which enable connectivity
with information systems, allowing interoperability
between equipment and information systems
dedicated to the field of health, in this proposal, We
also present as a complement a proposal for the
design of an application based on the XML standard
to achieve interoperability. The proposal can be
scaled using different components as well as
presenting more complex developments in the part
of the applications.
From the works described, we can indicate that
the issue of interoperability between different
systems and equipment is achieved by working with
the use of IoT techniques and one of its variants
IoMT, in this work we propose to use the same
techniques, but in an environment of direct
communication between medical devices that can be
connected in ambulances, which have connection to
the information systems of health centers, for which
we use IoT devices that have the ability to acquire
signals and can be sent to various servers and
services through wireless connections. We present
the procedures to implement the method in a clinical
environment.
2 MATERIALS AND METHODS
In the development of the methodology, we present
4 main components that we describe below, with the
intention of being able to indicate the necessary
steps to be able to be replicated in this way, where
we start with an analysis of the problematic
situation, we continue with the analysis of the
various devices that we can use to update the
medical devices that we wish to interconnect, we
continue with the description of the communication
protocol where we present how an XML-based
message can perform the communication between
the medical device and the computer system and
finally we describe the protocol to demonstrate the
usefulness of the methodology.
Figure 1: Description of the methodology.
In Figure 1, we present the description of the
methods to be developed, starting with the analysis
of the problematic situation, analysis of the devices,
description of the communication protocol and
ending with the demonstration of the protocol.
2.1 Description of the Problem
Situation
The problem situation that we can describe is related
to describe a low cost mechanism to connect
between various medical devices with various
information systems, we can indicate as an example
to demonstrate the methodology presented, what
happens in a traffic accident situation, when the
patient is in the ambulance, is subjected to various
equipment to monitor vital signs, in a conventional
situation, the ambulance arrives at a health center for
care, it is at this moment that the care begins in the
health center, with which the doctors treating the
patient just begin to know the patient's condition.
With the proposed methodology, having as
interoperability mechanisms, the connection of an
IoT device in the medical device, as well as
information systems may have the ability to read an
XML file and to execute update procedures to your
system, with these implementations and / or updates
to both the medical device and information systems,
connectivity is achieved and therefore
interoperability, As a demonstrative example we can
indicate that in the case of ambulance, we have a
team that measures vital signs and these are
connected to an IoT device, which becomes a Smart
medical equipment, which has the ability to connect
with different internet services, the proposed method
consists of creating a message using XML language
with the data acquired from the patient and that can
be shared with the information systems that are in
the health center to which the ambulance is going.
The information systems must have the capacity
to receive and read the XML messages and the data
obtained to update the systems, with which
following the simulation with respect to the case of
Low-Cost System for Interoperability Between Outpatient Medical Devices with Medical Records
613
the ambulance, in the health center know at all times
the status of the patient who is about to arrive and
can be prepared to receive them to apply their
procedures, due to the knowledge in advance of the
patient's condition, doctors can know and schedule
procedures in order to reduce the time of care and
thus to reduce the risk of any complication.
2.2 Analysis of the Devices
The heart of the presented method, are the IoT
devices that we describe below, these are frequently
used in many solutions based on IoT, is used for its
ease of use, its reliability in the work and its low
cost, which allows to be used in many products,
these devices allow connectivity with web services,
allows to perform data acquisition systems which
allows to capture and send them through their
communication protocols, as well as to adapt
different communication protocols with in the case
of communication.
The bass devices that have been considered to
propose their use, are decided exclusively in the
implementation of IoT based solutions, for which
they have the following characteristics:
For the case of the ESP32 model, according to
figure 2, among the main advantages, is its high
performance processor that allows to perform
various tasks simultaneously, with this feature we
can perform the acquisition of data and send them to
a station in the cloud, has WIFI connectivity with
Bluetooth integrated into the same chip, allowing
dual band communication simultaneously and one of
its main advantages compared to similar devices, is
its low power consumption and robust design, which
allows to be very small in size, complementing the
advantages, the device has a number of modules and
development kits, allowing to integrate many
solutions.
Figure 2: IoT devices.
One of the fundamental characteristics of this device
is that it has integrated three advanced processing
modules, the first is an encryption which ensures the
sending and receiving of data, the second chip is the
WI-FI module that allows the connection to nearby
networks and the third is a module of light and
temperature sensors, which allows to complement
the different solutions that you want to complement.
2.3 Description of the Communication
Protocol
The communication protocol described, in order to
demonstrate the method, consists of three
components, each of them with a fundamental
characteristic that together allow coherence in the
exploitation of resources for the benefit of patients'
health.
The first component is made up of IoT devices
that will be connected as update mechanisms of the
medical equipment that you want to work, in the
demonstration case, described in the problematic
situation, we have that in an ambulance the most
important equipment is the vital signs monitor,
which allows us to have the information of the state
of the patients, to be able to export the signals that
allow us to monitor the patient's condition in the
ambulance, it is necessary to attach to the medical
equipment, IoT devices, so that they can connect to a
communications network that can be the WIFI
network of ambulances and transmit the signals to
the health facility that awaits the patient.
The coupling between the medical device and the
IoT device can be done through different
communication protocols that the medical
equipment may have, such as RS-232, RS-485,
universal serial port. Through these communication
protocols the signal is exported to the IoT devices
who will transmit the data.
The second component is related to the
configuration of IoT devices, as mentioned, these
devices have a particularity that can connect
different data acquisition mechanisms and at the
same time configure a wireless network to send the
data received, with this mode of operation, we can
record the signals coming from the vital signs
equipment as well as the patient's personal data.
These data are transmitted to the health center,
previously the ambulance has to be equipped with
internet communication through a WI-FI network.
A third component is related to the design of an
algorithm that can convert the values entered in the
IoT devices and convert them into a message that
has the XML format, this algorithm must be
installed on a computer in the health center, so that
when the information is received from the
ambulance, automatically becomes XML message,
Complementing this algorithm, a program should be
created to read the XML message and this data can
ISAIC 2022 - International Symposium on Automation, Information and Computing
614
be displayed on a monitor and also enter the
different clinical information systems that the health
center has, such as the system of electronic medical
records, HIS systems, where you can start the
process of patient admission, know your medical
history, if you are allergic or other important
information that streamlines the care process.
Figure 3: Description of the communication protocol.
Figure 3 shows the diagram of the protocol
described, where the elements that make up each of
the components, the workflow mode as well as the
interactions with the devices and systems can be
seen. The following are the main procedures of the
protocol, as well as its corresponding flowchart,
which describes the use, application and generation
of the XML message.
1. Received a sample of the received signal
2. Retrieve the data
3. Generate the XML message
4. Verify that the data satisfies the
information need.
5. Send the XML message to the different
systems
2.4 Demonstration of the
Communication Protocol
The demonstration of the protocol is intended to
describe the data transmitted by the IoT device
located in the ambulance to the receiving station
located in the health center, where the data is
processed and the XML message is generated and
then exported to the different information systems.
Figure 4 shows graphically how the XML message
is generated.
Figure 4: Diagram for XML message generation.
Figure 4 shows the sequence of processes to
generate the XML message, one of the important
considerations is the export of the signals that allow
the identification of the patient's status by the
medical equipment, the export of the signals can be
done through the communication protocols that the
equipment has, in this case it can be RS-232 or RS-
485, through which it can be entered to the inputs of
the IoT devices, with this information is generated in
XML message and exported to the different
information systems that the health center has.
3 RESULTS
The results we present are related to present an
example of how an XML message would be
generated in an application, after receiving the signal
from the IoT device of the ambulance. Below we
present an example of the message where the
application that generates the message is identified,
the patient data that can be the name and surname,
age and document number. Also the message
contains the information of a device that measures
medical parameters; the possible values to have are
heart rate and oxygen saturation.
The data that can be contained in the XML
message can be configured depending on the
information that is available.
Information of the application that generates the
XML message.
<ns0:device medical
xmlns:ns0="http://myapplication.php">
Patient data information
Low-Cost System for Interoperability Between Outpatient Medical Devices with Medical Records
615
<header>
<firstName>John</firstName>
<lastName>Scott</lastName>
</header>
<body>
<header>
<document>78985</document>
</header>
<body>
<age>
<document>25</document>
</age>
</header>
Patient data information
Heart rate
</header>
<body>
<heart rate>
<document>55</document>
</heart rate>
</header>
Oxygen saturation
</header>
<body>
<Oxygen saturation>
<document>80</document>
</Oxygen saturation>
</header>
We must take into account that the data with which
the XML message is generated, depends on the
parameters recorded by the medical equipment, in
our demonstration example, mention is made of a
solution that tries to send the signals that are in an
ambulance, so that the hospital center can know the
patient's condition before they arrive at the health
center. If more medical data is required, it is
necessary to have medical equipment that can
acquire the signals to be analyzed.
One of the important considerations in the
development of the application for the generation of
the XML message, is related to the computer tools
that can be used, the choice of the tool will depend
on the mechanism as the signal is received from the
ambulance, normally it can be received through a
serial console, where we can configure to a buffering
mechanism, from which you can retrieve the
information to generate the message, the
programming of this application will depend on the
experience of the programmer.
4 CONCLUSIONS
The conclusions we reached are dedicated to three
components that are part of the method presented,
first with the adequacy and updating of medical
equipment that can have the ability to export signals
wirelessly, for which it must perform a procedure for
updating and adequacy of the IoT device, in this
sense is a fundamental part of this procedure.
A second component is the application that must
have the ability to transform the received signal and
be able to transform it into a message in XML, this
work is also very important, because it is required to
be able to read the signal and transform the data, and
then be included in the message, this process can be
done continuously, if continuous values are required,
or periodically when it is required to know the status
of patients in a transfer procedure in an emergency,
this mechanism is vital because you can have the
information in a real-time configuration.
The third component is related to the exploitation
of the XML message, where it is proposed to have a
monitor in the emergency room where the patient's
status can be monitored in real time, as well as to be
able to communicate with the hospital computer
systems that the health center has, such as the
electronic medical records, to know the patient's
medical history, with the pharmacy system to be
able to have available the medicines required when
the patient arrives at the emergency room, with the
computer systems of the insurance companies, if
required to know if the patient has any insurance,
among other applications that can help to reduce the
time of care and thus minimize the effects of lack of
care.
As limitations, we can point out that the need for
connectivity, this technological requirement is very
important because the ambulance, must have the
connectivity, in this way the information can be sent
to the health center, you can also resort to mobile
internet networks, through mobile equipment, with
this configuration the IoT device sends the
information through the mobile device.
The future work that we can recommend is
related to exploiting interoperability through the use
of XML messages between different devices and
information systems, thus taking advantage of the
information and computational resources available.
Finally we can indicate that the presented
method can be applied and scaled, depending on the
ISAIC 2022 - International Symposium on Automation, Information and Computing
616
experience in the management of IoT devices, as
well as the development of applications where the
information can be used in many applications, in the
demonstration of the method two IoT devices can be
identified, but they are not exclusive, other models
can be used, as long as they meet the conditions of
connectivity.
REFERENCES
Auccahuasi, W., Ovalle, C., Ayvar, Z., Aybar, J., Quispe,
R., Farfan, A., ... & Lovera, D. (2021). Low-cost
system for the management of hospital services,
applied to hospitalized patients through the use of IoT
technology.
Subash, T. D., Subha, T. D., Nazim, A., & Suresh, T.
(2020). Enhancement of remote monitoring
implantable system for diagnosing using IoMT.
In Materials Today: Proceedings (Vol. 43, pp. 3549–
3553). Elsevier Ltd.
https://doi.org/10.1016/j.matpr.2020.09.816
Li, X., Tao, B., Dai, H. N., Imran, M., Wan, D., & Li, D.
(2021). Is blockchain for Internet of Medical Things a
panacea for COVID-19 pandemic? Pervasive and
Mobile Computing, 75.
https://doi.org/10.1016/j.pmcj.2021.101434
Khan, S. R., Sikandar, M., Almogren, A., Ud Din, I.,
Guerrieri, A., & Fortino, G. (2020). IoMT-based
computational approach for detecting brain
tumor. Future Generation Computer Systems, 109,
360–367. https://doi.org/10.1016/j.future.2020.03.054
Sridhar Raj, S., & Madiajagan, M. (2021). Parallel
machine learning and deep learning approaches for
internet of medical things (IoMT). In Intelligent IoT
Systems in Personalized Health Care (pp. 89–103).
Elsevier. https://doi.org/10.1016/b978-0-12-821187-
8.00004-6
Lu, Y., Qi, Y., & Fu, X. (2019). A framework for
intelligent analysis of digital cardiotocographic signals
from IoMT-based foetal monitoring. Future
Generation Computer Systems, 101, 1130–1141.
https://doi.org/10.1016/j.future.2019.07.052
Adewole, K. S., Akintola, A. G., Jimoh, R. G., Mabayoje,
M. A., Jimoh, M. K., Usman-Hamza, F. E., … Ameen,
A. O. (2021). Cloud-based IoMT framework for
cardiovascular disease prediction and diagnosis in
personalized E-health care. In Intelligent IoT Systems
in Personalized Health Care (pp. 105–145). Elsevier.
https://doi.org/10.1016/b978-0-12-821187-8.00005-8
Kumar, P., Gupta, G. P., & Tripathi, R. (2021). An
ensemble learning and fog-cloud architecture-driven
cyber-attack detection framework for IoMT
networks. Computer Communications, 166, 110–124.
https://doi.org/10.1016/j.comcom.2020.12.003
Alsubaei, F., Abuhussein, A., Shandilya, V., & Shiva, S.
(2019). IoMT-SAF: Internet of medical things security
assessment framework. Internet of Things, 8, 100123.
Kang, J., Fan, K., Zhang, K., Cheng, X., Li, H., & Yang,
Y. (2021). An ultra light weight and secure RFID
batch authentication scheme for IoMT. Computer
Communications, 167, 48–54.
https://doi.org/10.1016/j.comcom.2020.12.004
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