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Wearables 4 Real Life
AboutPharma, June 7th, 2016
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
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.
+ +
Scenario
Patient
Clinician
Caregiver
Scenario
Patient
Clinician
Caregiver
How is your
therapy going?
Scenario
Patient
Clinician
Caregiver
Do you take all the
pills following my
recommendations?
Scenario
Patient
Clinician
Caregiver
Who knows if he
is taking the
right pills?
Scenario
Patient
Clinician
Caregiver
Sometimes
I forget to do it…
Scenario
Patient
Clinician
Are you doing the
exercises I
recommended?
Caregiver
Scenario
Patient
Clinician
Well… yes…
I do pretty often…
Caregiver
Scenario
Patient
Clinician
Caregiver
He spends
hours on
the couch,
he is lazy…
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
Use case Experimental project developed in the US for an
insurance company aimed to support heart
patients (with cardiac disease)
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)
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)
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
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
Patient
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report
PatientCaregiver
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report
• Alert for taking medications
• Emergency alert
• Consultation report
Patient ClinicianCaregiver
• Monitoring ECG
• Heartbeat
• Step counter
• Medication reminder
• Consultation report
• Alert for taking medications
• Emergency alert
• Consultation report
• Consultation report
• Emergency alert
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
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

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Wearables 4 Real Life

  • 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. + +
  • 6. Scenario Patient Clinician Caregiver Do you take all the pills following my recommendations?
  • 9. Scenario Patient Clinician Are you doing the exercises I recommended? Caregiver
  • 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