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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
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
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
Abundance of Information 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Neat and Tidy (Information) Blocks 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Starts from Simple: How To Assemble? 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
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
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
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
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
PatNet Components 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Goal of the PatNet Project 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Goal of the PatNet Project 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
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
Purpose 
• Get insight about the patient data 
• Analyse data 
• For better understanding (to support improved 
healthcare) 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
General Purpose Social Network 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Dedicated Social Network 
Own secured database 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Basic Building Blocks 
User 
Interaction 
Sensor 
Data 
Database 
Community 
Data 
Caregivers Doctors 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Network of Users and Bio Sensors 
Users 
Interaction 
Database 
Analysis 
+ 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
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
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
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
Use Engagement… 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
Use Engagement… … 
Avatar 
Sensor Pane 
General 
Interaction 
and Social 
Pane 
Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
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
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
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
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
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

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PatNet Exploring Social Media and Bio-sensors for a Patient Driven Health Care System

  • 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 Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 5. Neat and Tidy (Information) Blocks Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 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 Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 12. Goal of the PatNet Project Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 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) Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 16. General Purpose Social Network Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 17. Dedicated Social Network Own secured database Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 18. Basic Building Blocks User Interaction Sensor Data Database Community Data Caregivers Doctors Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 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… Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 24. Use Engagement… … Avatar Sensor Pane General Interaction and Social Pane Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  • 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

Notes de l'éditeur

  1. 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.
  2. … National Research Corporation in Canada polled nearly 23,000 patients and found that 41% of them use social media sites to look for health information.  Of those, nearly 94% said Facebook was their site of choice.
  3. Will doctor share information?
  4. Opportunities - Interaction pattern - Real-life sensor data - Knowledge base