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University of Utah Biomedical Informatics Seminar Slides
 

University of Utah Biomedical Informatics Seminar Slides

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  • Introduction (family picture, Russia picture, BYU, Umich and iSchools, Maryland - 4 years, HCIL, CASCI, IGERT) Talk about iSchools
  • More than 500 million active users 50% of our active users log on to Facebook in any given day Average user has 130 friends People spend over 700 billion minutes per month on Facebook
  • See special issue of IEEE Computer, Nov. 2010 focused on Technology-Mediated Social Participation.
  • Hutchin’s classic paper explores the idea of treating a cockpit as a unit of analysis from a cognitive psychology standpoint – one that includes both human and technological components to perform computation and memory tasks. However, as most of cognitive psychology work, it focuses on one individual and not emergent properties on a social level. What would/does a socio-technical social system look like and how can we analyze them? Lostpedia provides one example of a socio-technical system engaged in “sensemaking by the masses”.
  • Figure 1 (taken from IEEE Computer article titled “Social Participation in Health 2.0” ( http://www.computer.org/portal/web/csdl/doi/10.1109/MC.2010.326 ). Research opportunities in developing the national health information infrastructure. Technology-mediated social participation systems have applications within the spheres of personal, clinical, and population health information (3 areas identified in the National Committee on Vital and Health Statistics (NCVHS) report on Information for Health: http://aspe.hhs.gov/sp/NHII/Documents/NHIIReport2001/ )
  • Original studies conducted primarily in medical schools used approximately the following methodology (left-hand side): (1) Choose health topic, (2) select subset of webpages on topic (e.g., ones that show up highly in search engine results), (3) have experts review sites for accuracy and completeness – giving each site a + or – score (with inter-rater reliability reported), (4) report findings/conclusions (“look how much bad content there is!”) Other studies conducted more recently from an “information seeking” perspective (e.g., JASIST) use the following methodology (right-hand side): (1) choose health topic and create common search tasks on topic, (2) choose subset of people (e.g., adolescents, older adults…), (3) systematically observe them searching (with “think aloud” protocol”), (4) code search process, content viewed, and success of searches, (5) report findings/conclusions (“people are more critical of content than we assumed, but some of them sure don’t know how to create good search terms or use browsers effectively”) See http://www.jmir.org/2003/4/e25/ for an example of the 2 nd type focused on adolescents. For one focused on older adults see http://dl.acm.org/citation.cfm?id=2132176.2132220
  • Our goal is to democratize the analysis of social network analysis. How can this be applied to healthcare? Identify thought leaders, companies/organizations, cliques/clusters of users, misinformation campaigns, impact of direct-to-consumer marketing Identify people at risk of certain behaviors that have been shown to “spread” through social networks (e.g., alcoholism, obesity)
  • Alternate Reality Games (ARGs) such as World Without Oil and Superstruct and The Lost Experience provide new opportunities to see how large groups of people perform collaborative sensemaking using social media tools. There are exciting opportunities to apply similar strategies to test large-scale simulations (e.g., disease outbreaks) and other collaborative activities (crowdsourcing scientific discovery).

University of Utah Biomedical Informatics Seminar Slides University of Utah Biomedical Informatics Seminar Slides Presentation Transcript

  • Social Participation in Health 2.0: Opportunities and Challenges University of Utah, Biomedical Informatics Graduate School Seminar April 5, 2012 Derek L. Hansen Information Technology, BYU dlhansen@byu.edu @shakmatt http://www.mendeley.com/profiles/derek-hansen/
  • Center for the Advanced Studyof Communities and InformationHuman-ComputerInteraction Lab
  • A World of Social Technologies
  • Technology-mediated social participation (TMSP)“The goal is to create new architecturesfor the online public spaces that energizethe population to contribute to vitalcommunity and national priorities” - IEEEComputer, Nov. 2010
  • TMSP Examples
  • Socio-Technical Systems Cognitive-Technical System Social-Technical SystemHow a Cockpit Remembers its SpeedHutchins, Edwin
  • Historical note: how methodology impacts findings WWW Focus on Content Focus on Search Process, WWW Usability, & Success WWW WWW WWW W W W W W WWWW WWW WWW WWW W WWW W WWW W W W W WWW W W W WWW W W W
  • Research Opportunities & Strategies• Develop tools & methods to study social health data in the wild• Examine extraordinary socio-technical systems from other domains & translate them to health 2.0 contexts• Develop & test novel socio-technical interventions in field studies
  • Making sense of social dataPatterns are left behind New Tools to explore relational dataNew Methods & Visualizations forExploring & mining social experience
  • “thimerosal” on Twitter
  • Examine Extraordinary Socio-Technical Systems  Health 2.0 Systems
  • Develop & Test novel Socio-Technical Interventions
  • Computing Conferences that Welcome Health 2.0 Work• ACM – CHI (Computer-Human Interaction)• ACM – CSCW (Computer Supported Cooperative Work)• ACM – SIGHIT’s International Health Informatics Symposium• ICWSM – International Conference on Weblogs & Social Media• IEEE SocalCom- Social Computing
  • Questions & Discussion Derek L. Hansen Information Technology, BYU dlhansen@byu.edu @shakmatthttp://www.mendeley.com/profiles/derek-hansen/