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

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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.

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

  1. 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. 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. 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. 4. Abundance of Information Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  5. 5. Neat and Tidy (Information) Blocks Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  6. 6. Starts from Simple: How To Assemble? Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  7. 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. 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. 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. 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. 11. PatNet Components Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  12. 12. Goal of the PatNet Project Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  13. 13. Goal of the PatNet Project Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  14. 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. 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. 16. General Purpose Social Network Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  17. 17. Dedicated Social Network Own secured database Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  18. 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. 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. 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. 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. 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. 23. Use Engagement… Session 5b, 30 October 2014 eChallenges e-2014 Copyright 2014 Dynamics Lab - UCD
  24. 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. 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. 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. 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. 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. 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

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