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Patient Powered Research with Big Data and Connected Communities by Assoc. Prof. Christopher Yang

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The document discusses how patients are playing an active role in maintaining their health through social media. It describes how patients use social media as a virtual community to exchange information and provide social support to each other. The document also discusses how big data can be used for knowledge discovery and drug safety monitoring to supplement traditional clinical practices and empower patients.

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WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities Patient Powered Research with Big Data and Connected Communities Chris Yang College of Computing and Informatics Drexel University
• Healthcare is transforming Reactive Care Proactive and Preventive care Episodic Response Continuous Well-being Monitoring Clinic-centric practice Patient-centered practice Training-based Interventions Globally Aggregated Evidence • Patients are playing active role in maintaining their health WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Social Media • With the advance of Web 2.0 technologies, the Web is not only a resource that patients look for health information but also a virtual community where patients interact with each other to provide different kinds of social support and exchange information where they may not be able to obtain from local health professionals. “e-patients are looking for ‘just-in-time someone-like-me” health information” - Boase et al, 2006; Fox & Jones, 2009 *E-patient: internet user that is looking for health information “e-patients are looking for a sense of community” -Wright & Bell, 2003 72% read patient blog, health newsgroup, or health website 39% used social networking site 26% shared or viewed updates
WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Integrate with Leading Health Devices WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
• We are now utilizing diverse data to provide automated and augmented insight, discovery, and evidence-based health and wellness decision support • a cyber-based empowering of patients and healthy individuals that enables them to play a substantial role in their own health and treatment WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Forum Journal Notes
WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities Informational Support Offered 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% Referral Advice Opinion Personal Fact 1. K. Chuang and C. C. Yang, “A Study of Social Positions In an Online Alcoholism Community,” Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, Washington, D.C., April 2 – 5, 2013. 2. K. Chuang and C. C. Yang, “Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking,” Journal of Medical Internet Research, vol. 14, no.3, 2012. 3. K. Chuang and C. C. Yang, “ A Study of Informational Support Exchanges in MedHelp Alcoholism Community,” Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction , College Park, MD, April 3-5, 2012. 4. K. Chuang and C. C. Yang, “Helping You to Help Me: Exploring Supportive Interaction in Online Health Community,” Proceedings of ASIS&T 2010, Pittsburgh, PA, October 22-27, 2010. 5. K. Chuang and C. C. Yang, “Social Support in Online Healthcare Social Network,” Proceedings of iConference, Urbana-Champaign, IL, February 3-6, 2010. Referral refers the recipient to a resource Advice suggests actions to deal with situation Opinion a view or judgment formed about something, not necessarily based on fact or knowledge Personal experience stories about person’s experiences or incidents as a way of presenting information. Fact reassesses the situation and presents facts.
Nurturant Support Offered Esteem Gives positive comments validating a recipient’s self- concept, alleviating feelings of guilt as a person; includes compliments, validation, and relief from blame Networking Focuses on messages to broaden support seekers’ social network so they don’t feel alone, by connecting them to others with similar situations; includes access, presence, and companions Emotional Gives expressions that support recipient’s feelings or reciprocates emotion; the emphasis of this category is on supporting emotional states rather than the recipient’s identity or self-concept0% 10% 20% 30% 40% 50% 60% Esteem Networking Emotional WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
11 Drug Safety Signal Detection • Adverse drug reactions (ADRs) are causing a substantial amount of hospital admissions and deaths – 5.3% of hospital admission were associated with ADRs – 7% of medical errors were attributed to ADRs • Pre-marketing review process cannot possibly identify all potential adverse effects. • Post-marketing surveillance programs must be conducted to identify new adverse effects and evaluate their potential impact on the public health WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
12 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 Precision Recall F-measure Associations Mining-Lift Treato SideEffective AdverseEvents WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Healthcare Heterogeneous Network Visualization and Mining 13 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
Drug-Drug Interaction Detection • Drug-drug interactions (DDIs) – a significant drug safety problem for health consumers – may account for up to 30% of unexpected adverse drug reactions – often caused by shared pathways of metabolism or interesting pathways of drug action – DDIs detection is of great clinical importance because most interactions could result in precaution of prescription, absolute contraindications of combination use, or even drug withdrawal from market 14 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
15 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
• Healthcare social media empowered patients to connect with other patients and health professionals – Exchange information as well as nurturant support – A new platform health intervention • Big data for knowledge discovery to supplement the traditional clinical approach WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities

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Patient Powered Research with Big Data and Connected Communities by Assoc. Prof. Christopher Yang

  • 1. WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities Patient Powered Research with Big Data and Connected Communities Chris Yang College of Computing and Informatics Drexel University
  • 2. • Healthcare is transforming Reactive Care Proactive and Preventive care Episodic Response Continuous Well-being Monitoring Clinic-centric practice Patient-centered practice Training-based Interventions Globally Aggregated Evidence • Patients are playing active role in maintaining their health WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 3. Social Media • With the advance of Web 2.0 technologies, the Web is not only a resource that patients look for health information but also a virtual community where patients interact with each other to provide different kinds of social support and exchange information where they may not be able to obtain from local health professionals. “e-patients are looking for ‘just-in-time someone-like-me” health information” - Boase et al, 2006; Fox & Jones, 2009 *E-patient: internet user that is looking for health information “e-patients are looking for a sense of community” -Wright & Bell, 2003 72% read patient blog, health newsgroup, or health website 39% used social networking site 26% shared or viewed updates
  • 4. WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 5. WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 6. Integrate with Leading Health Devices WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 7. • We are now utilizing diverse data to provide automated and augmented insight, discovery, and evidence-based health and wellness decision support • a cyber-based empowering of patients and healthy individuals that enables them to play a substantial role in their own health and treatment WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 9. WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities Informational Support Offered 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% Referral Advice Opinion Personal Fact 1. K. Chuang and C. C. Yang, “A Study of Social Positions In an Online Alcoholism Community,” Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, Washington, D.C., April 2 – 5, 2013. 2. K. Chuang and C. C. Yang, “Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking,” Journal of Medical Internet Research, vol. 14, no.3, 2012. 3. K. Chuang and C. C. Yang, “ A Study of Informational Support Exchanges in MedHelp Alcoholism Community,” Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction , College Park, MD, April 3-5, 2012. 4. K. Chuang and C. C. Yang, “Helping You to Help Me: Exploring Supportive Interaction in Online Health Community,” Proceedings of ASIS&T 2010, Pittsburgh, PA, October 22-27, 2010. 5. K. Chuang and C. C. Yang, “Social Support in Online Healthcare Social Network,” Proceedings of iConference, Urbana-Champaign, IL, February 3-6, 2010. Referral refers the recipient to a resource Advice suggests actions to deal with situation Opinion a view or judgment formed about something, not necessarily based on fact or knowledge Personal experience stories about person’s experiences or incidents as a way of presenting information. Fact reassesses the situation and presents facts.
  • 10. Nurturant Support Offered Esteem Gives positive comments validating a recipient’s self- concept, alleviating feelings of guilt as a person; includes compliments, validation, and relief from blame Networking Focuses on messages to broaden support seekers’ social network so they don’t feel alone, by connecting them to others with similar situations; includes access, presence, and companions Emotional Gives expressions that support recipient’s feelings or reciprocates emotion; the emphasis of this category is on supporting emotional states rather than the recipient’s identity or self-concept0% 10% 20% 30% 40% 50% 60% Esteem Networking Emotional WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 11. 11 Drug Safety Signal Detection • Adverse drug reactions (ADRs) are causing a substantial amount of hospital admissions and deaths – 5.3% of hospital admission were associated with ADRs – 7% of medical errors were attributed to ADRs • Pre-marketing review process cannot possibly identify all potential adverse effects. • Post-marketing surveillance programs must be conducted to identify new adverse effects and evaluate their potential impact on the public health WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 12. 12 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 Precision Recall F-measure Associations Mining-Lift Treato SideEffective AdverseEvents WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 13. Healthcare Heterogeneous Network Visualization and Mining 13 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 14. Drug-Drug Interaction Detection • Drug-drug interactions (DDIs) – a significant drug safety problem for health consumers – may account for up to 30% of unexpected adverse drug reactions – often caused by shared pathways of metabolism or interesting pathways of drug action – DDIs detection is of great clinical importance because most interactions could result in precaution of prescription, absolute contraindications of combination use, or even drug withdrawal from market 14 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 15. 15 WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities
  • 16. • Healthcare social media empowered patients to connect with other patients and health professionals – Exchange information as well as nurturant support – A new platform health intervention • Big data for knowledge discovery to supplement the traditional clinical approach WKWSCI SYMPOSIUM 2014 Big Data, Big Ideas for Smarter Communities