improve the application security in order to avoid pa-
tient harm and the usability of the application. The
application requirements are explained in Sect. 5.
Then, the prototyping design started. The pro-
totype has been designed following the prototyping
on paper (POP) approach, which consists in drawing
on paper shapes representing screens, buttons, text
boxes, and other items of the user interface. This is
the simplest method to prototype applications and al-
lows the designer to have a general view of what will
be the final result. The second approach adopted to
prototype is using dedicated software: Justinmind
2
.
Justinmind allows us to prototype mobile and web ap-
plications analogous to realistic applications. After
that, we started the implementation on Android Stu-
dio to get a working prototype. It does not have all the
functionalities as defined in the requirements specifi-
cation document, but it is a starting point to develop
the complete MVM mobile application.
4 EXISTING APPLICATIONS
FOR VENTILATION
Before starting the design of the MVM mobile ap-
plication, we analyzed existing applications related to
mechanical ventilators (Agudelo and S
´
anchez, 2020).
We have found seven applications.
Four of them are for educational purposes, they
provide ventilator setting parameters based on patient
data given as input by the expert: Basics of Mechan-
ical Ventilation (Unknown, 2014), VentilO (IUCPQ,
2020), VentICalc (van Beukering et al., 2020) and
Mechanical Ventilation Expert (Streltsov, 2022). The
other three applications simulate or are connected to
the ventilator, for each of them we have extracted ad-
vantages and disadvantages as summarized in Table 1.
MyVenus (Lab, 2022; Battista, 2016) is used for pa-
tients that suffer from chronic respiratory failure or
acute respiratory diseases and are mechanically ven-
tilated at home. Using this device the physician can
remotely monitor, using a web interface, the ventila-
tion parameters e.g. respiratory rate, inspiration time,
peak flow, and tidal volume. Moreover, it is able
to detect apnea and patient tube disconnection. Tru-
Vent App (Trucorp, 2022) is a training application.
The trainer sets patient characteristics and the learner
monitor and performs actions based on patient status,
which can be modified continuously by the trainer in
order to test different clinical conditions. Hamilton
Connect App (medical, 2022) allows the physician to
access selected ventilation data in order to monitor
2
https://www.justinmind.com/
patients remotely. Moreover, it offers a demo mode
that allows exploring all the application functional-
ities. None of the presented applications is able to
control remotely the ventilator in order to monitor and
also control patient clinical status.
5 APPLICATION
REQUIREMENTS
The possibility of remote management that this appli-
cation allows, reduces the response time of special-
ized personnel given the high demand for ventilators
and specifically in the cases of patients who totally de-
pend on the use of this equipment and require greater
attention and care by intensive care physician (Mi
˜
no
et al., 2021).
To provide safe care to ventilated patients, the
number of healthcare professionals who are allowed
to adjust the ventilator should be limited. Inform-
ing the clinician early about potential complications
or patient tolerance of ventilator changes can pro-
vide coordinated care and improve patient outcomes.
Every time an adjustment is made on the ventilator,
there must be a notification to the critical care nurse
in charge in order that the settings can be reviewed,
and an appropriate clinical observation is guaranteed
for the safety of the patient. It is crucial a local con-
trol and careful verification of remote prescriptions by
qualified health professionals. Furthermore, any pa-
rameter and alarm prescription change on ventilatory
devices should be clearly recorded, documented, and
communicated to the entire healthcare team. A mul-
tiparameter monitoring of the patient and a collabora-
tive and trained interprofessional team are necessary
conditions for safe and effective mechanical ventila-
tion. It might be reasonable to define shared protocols
and algorithms in individual ICUs to avoid potential
confusion from competing loci of control and infor-
mation, including alarm signals, introduced by the
remote-control system. A careful study of the man-
agement of the clinical risk deriving from the remote
control of mechanical ventilation and related cyberse-
curity will be necessary to define the possible clini-
cal implications and obtain the authorizations of the
Healthcare regulatory Agencies (Williams LM, 2022;
Branson et al., 2016; AAMI, 2020). An accurate eval-
uation of risks associated with a medical device re-
mote control in the tele-critical care context is strictly
recommended.
After having analyzed existing applications and
the existing MVM GUI, we have defined the MVM
application requirements by writing the Software Re-
quirement Specification document. Fig. 3 shows an
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