People are increasingly becoming health-conscious and therefore prefer monitoring their health conditions for various reasons (e.g., sports, medical health). Similarly, patients are also keen to utilize bio-sensors that are readily available in the market. As a result, patient driven health care systems are gradually becoming popular among the medical professionals. A patient driven medical health care facility gives access to an enormous amount of data that may revolutionize the existing health and care system. However, there is a little known about how to tap into the potential patient driven knowledge and information in a systematic order. The PatNet project provides some of the stepping stones into this domain of patient and sensor social networks. This project focuses on patient-driven health care models and services. The research examines the potential to both improve traditional healthcare systems and expand the concept of health care through new services. This research rationale outlines the challenges and opportunities that the proposed model shows.

1. PatNet: Exploring Social Media and
Bio-sensors for a Patient Driven
Health Care System
Nasim Mahmud and Diane Payne
Dynamics Lab,
Geary Institute,
University College Dublin (UCD)
http://dl.ucd.ie
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

2. Summary
• People are increasingly becoming health-conscious
• Patients are keen to utilize bio-sensors
• There is a little known about how to tap into the
potential patient driven knowledge and
information in a systematic order
• The PatNet project provides stepping stones into
this domain of patient and sensor social networks
• This research rationale outlines the challenges
and opportunities that the proposed model
shows
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

3. Research Problem
• Within the Irish health sciences or indeed
internationally, there is relatively little systematic
research to date on the use and impact of social
media in healthcare management
– How health care professional and patients behave
through interaction in social media forums?
– How these new lateral forms of information diffusion
may be impacting on individual healthcare
practitioner learning and decision making?
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

4. Abundance of Information
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5. Neat and Tidy (Information) Blocks
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6. Starts from Simple: How To Assemble?
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

7. Patient Data – “Traditional” Approach
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation 1
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation 2
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation n
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

8. Patient Data – Traditional Approach
Patient
1
Patient
2
Patient
3
time
Patient
1
Patient
2
Networks of Patients
Networks of Professional
Medical Personnel
Patient
n
Observation 1
Patient
3
Patient
n
time
Observation 2
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation n
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

9. Challenges With Traditional Approach
• Scattered Data
• Uncontrolled Flow of Information
• Insecure Data Dissemination
• Data (topic) Control - Moderation
• Time Consuming Data
• Laboratory Observation Only
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

10. Organized Approach with PatNet
Patient
1
Patient
2
Patient
3
Networks of Patients
Patient
n
time
Observation 1
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation 2
Patient
1
Patient
2
Patient
3
Patient
n
time
Observation n
Networks of Professional
Medical Personnel
-With WEB 2.0 technology
-Secured Database
-Connected Socially
-Patient-sensor and caregiver network
-Network of networks
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

11. PatNet Components
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12. Goal of the PatNet Project
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13. Goal of the PatNet Project
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

14. What is PatNet
• A specialized (social) network engine
• Dedicated for a targeted user group
• Secured
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

15. Purpose
• Get insight about the patient data
• Analyse data
• For better understanding (to support improved
healthcare)
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16. General Purpose Social Network
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17. Dedicated Social Network
Own secured database
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18. Basic Building Blocks
User
Interaction
Sensor
Data
Database
Community
Data
Caregivers Doctors
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19. Network of Users and Bio Sensors
Users
Interaction
Database
Analysis
+
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

20. User Data
• Users can provide data
– In a similar fashion of form filling
– Long survey
– Regular Micro Survey
• Wearable sensor technologies
• Doctors can provide data related to a patient,
patient group
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

21. Sensor Data
• Direct input (by users, e.g., BP)
• Via webservers (via web service, e.g., fitbit)
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

22. Where Are We Now?
• Working on a PatNet social network engine
– Will be published soon
• Primary features
– Survey tool
– Detailed user profile
– Multiple communication mode for users (e.g.,
forum, site message, chat)
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

23. Use Engagement…
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24. Use Engagement… …
Avatar
Sensor Pane
General
Interaction
and Social
Pane
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25. Licencing…
Site Level User Agreement
Each user must accept
the terms and conditions
of the site at the time of
registration.
All users (e.g., patients,
medical personnel) have
to ‘sign’ this agreement
Institutional Level User Agreement
Medical personnel and
researchers dealing with
user data must sign the
‘ethical contract’ to
comply with the policy
of their respective
institutes.
Individual Artefact
User Agreement
When a user (e.g.,
patients, medical
personnel, e.t.c.) share
some particular
(sensitive) information
on the site, they will be
asked to agree on the
terms of use.
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

26. Basic Registration
User
Agreement
Patients
Medical Personnel
and Researchers
Institutional
Agreement
Hospitals and
other institutes
User
Agreement
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

27. Challenges with Bio--sensor Data
• Need to identify from a range of sensors
• Need to agree upon capturing data from those
sensors
• Currently PatNet design can support some
formats (e.g., ASCII, XML)
• What about continuous data, etc…
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

28. Thank you!
Dr. Nasim Mahmud and Dr. Diane Payne
firstname.lastname@ucd.ie
http://dl.ucd.ie
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD

29. What is your opinion?
• Will medical personnel share their expertise
online?
• Will *you give your data?
– -Why and when?
– -Why not?
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD