STAGEVOORSTEL / THESIS
Gegevens stage-instelling
Naam bedrijf/instelling: APEX R&D bvba
Adres: Kapeldreef 60
E-mail adres: dgielis@apexrnd.be
Contactpersoon: Dimitri Gielis
Website: www.apexrnd.be
Functie: CEO
Telefoonnummer: 0473 81 40 97
Titel stage-voorstel
Wearables and Digital Health/mHealth
Omschrijving van de werkzaamheden
APEX R&D is an IT-company specialized in a Oracle niche
product, Oracle Application Express (APEX). We develop
customized web-based applications. Some of our clients
are Luminus, Heerema, Bayer, and De Lijn.
Our department APEX Health focuses on digital healthcare
applications. What APEX Health wants to do next, is to
release a Wearables Project. We want to bring wearables
such as the Apple Watch or the Microsoft band into action
in oncology in order to automatically collect data from
patients. (Integrating the Apple Research Kit into the
project is an option.)
A wearables application has to be created, ....
Research has to be done into the security and scalability
to evaluate the processes when 1, 10, 100, 1000 patients
use the wearables.
One of our goals is to submit the application to the
appstore.
More technical following needs to happen: Creation of a
mobile and wearable application, a REST API and a
backend application on top of an Oracle database (or big
data provider). The application needs to be designed,
wire-framed, tested and submitted to the appstore.
Duur van de stage
Aantal weken: by mutual agreement
Begindatum (*):
Aantal uren/dag: 8
Einddatum (*):
Doelstelling en belang van de opdracht voor de masterproef
(vb. belangrijke onderzoeksvraag die aan bod komt, rol van
implementatie, ...)
We want to bring wearables such as the Apple Watch or
the Microsoft band into action in oncology in order to
automatically collect data from patients. Integrating the
Apple Research Kit into the project is an option.
Research has to be done in order to find which wearables
and which parameters can be automated and which of
these are important for doctors/hospitals/pharma. In
addition, we want to create two-way communication
between doctor and patient. Furthermore, it could be
interesting to analyse data through Artificial Intelligence
and Machine Learning in order to discover trends in the
population, for example to find side effects of a particular
drug.