This document discusses how wearable devices and mobile apps can integrate big data in healthcare to predict diseases and provide early assistance to patients. It proposes a scenario where a wearable device collects a heart patient's real-life data which is analyzed in the cloud using predictive algorithms. This allows alerts to be sent if anomalies are detected, helping ensure therapy adherence and reducing health risks. The solution involves wearables transmitting data to a smartphone app and cloud for storage, with a portal giving clinicians access to monitor multiple patients' data while respecting their privacy.

1. Wearables 4 Real Life
AboutPharma, June 7th, 2016

2. About
A subsidiary opened in the Silicon Valley at the
beginning of 2015, with the goal of picking up
newborn technology innovations and bringing
them to Europe at our clients’ disposal
Since 2004 we have been developing web,
mobile and connected device projects.
Thanks to 60 developers and a team of
technical advisors we can realize projects for
any kind of complexity and innovation level

3. Topic
Analyzing the value of big data in the
healthcare industry and the integration
between wearable devices and mobile apps,
we will focus on the possibility to predict
pathologies and provide early assistance to
the patients improving their therapy
adherence.
MOBILE HEALTH, SMART MEDICAL TECHNOLOGIES, APP AND BIG DATA
Why big data in the healthcare industry?
Because prevention is better than cure
The objective is to bridge the gap between clinical visits,
providing doctors with real life data, assisting and
monitoring the patients and supporting caregivers.
+ +

4. Scenario
Patient
Clinician
Caregiver

5. Scenario
Patient
Clinician
Caregiver
How is your
therapy going?

6. Scenario
Patient
Clinician
Caregiver
Do you take all the
pills following my
recommendations?

7. Scenario
Patient
Clinician
Caregiver
Who knows if he
is taking the
right pills?

8. Scenario
Patient
Clinician
Caregiver
Sometimes
I forget to do it…

9. Scenario
Patient
Clinician
Are you doing the
exercises I
recommended?
Caregiver

10. Scenario
Patient
Clinician
Well… yes…
I do pretty often…
Caregiver

11. Scenario
Patient
Clinician
Caregiver
He spends
hours on
the couch,
he is lazy…

12. Internet Of Things
Internet Of Things, or, in short, IOT, is a group of technologies aiming to
make every kind of object, even those born without a digital soul,
a device connected to the Internet

13. Use case Experimental project developed in the US for an
insurance company aimed to support heart
patients (with cardiac disease)

14. Use case
Through the use of wearable devices it is
possible to collect patients’ real life data that
will be analyzed in the cloud, detecting
anomalies thanks to a predictive algorithm
Experimental project developed in the US for an
insurance company aimed to support heart
patients (with cardiac disease)

15. Use case
Through the use of wearable devices it is
possible to collect patients’ real life data that
will be analyzed in the cloud, detecting
anomalies thanks to a predictive algorithm
Therapy adherence is supported through daily
reminders sent via app to the patience
Experimental project developed in the US for an
insurance company aimed to support heart
patients (with cardiac disease)

16. Use case
An alert will be send to the stakeholders allowing an early
assistance and reducing risks for the patient life
Experimental project developed in the US for an
insurance company aimed to support heart
patients (with cardiac disease)
Through the use of wearable devices it is
possible to collect patients’ real life data that
will be analyzed in the cloud, detecting
anomalies thanks to a predictive algorithm

17. The proposed solution
Wearable devices
They acquire data storing them
directly on paired device
Smartphone
Synchronize the data with the server
and visualizing it within the app
Cloud
It stores all the patients’ data,
respecting the privacy
Thanks to a predictive algorithm it
is able to alert in case of
dangerous situations
Portal
Protected by a login, it allows to check
the data of one or more patients

18. Patient
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report

19. PatientCaregiver
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report
• Alert for taking medications
• Emergency alert
• Consultation report

20. Patient ClinicianCaregiver
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report
• Alert for taking medications
• Emergency alert
• Consultation report
• Consultation report
• Emergency alert

21. Advantages
Reduce gap between
visits and follow-up
Reduce time
of intervention
Improve adherence to
the therapy
Better quality of life
Better monitoring
health state
Reduce expenses
Real life data
empowering
healthcare research

22. Vidiemme Consulting srl
Via Natale Battaglia, 8
20127 Milan
Phone (+39) 02 2685.821
Fax (+39) 02 2685.8230
http://www.vidiemme.it
pharma@vidiemme.it
Contacts