Chronic illness can be overwhelming to patients because it impacts many areas of their daily lives. Accordingly, many patients turn to online health support groups to get social support. In face-to-face patient support groups (F2F), health professional moderators provide clinical expertise within the context of peer-patients'sharing of experience. However, in online health community settings, because health professionals'time and resources are expensive, it is challenging to get health professionals'opinions for thousands of messages posted each day. To solve this problem, I propose to develop methods and techniques that maximize the use of already available clinical expertise online for online peer-patient conversation threads by developing a system, InfoMediator. The InfoMediator will semi-automatically weave health professionals'existing answers to patients'questions into peer-patient conversations by using Natural Language Processing (NLP) techniques complemented by user feedback. As the career development component of this proposal, I deepen my skills and knowledge in NLP necessary for proposed work and patient education. As I develop the NLP techniques and knowledge in patient education, I and my mentors will develop methods and techniques that address weaving clinical expertise within peer-patient conversations by designing, implementing, and evaluating socio-technical aspects of the InfoMediator. The training opportunities provided by this NIH NLM K01 grant, together with the supportive research environment at Michigan State University, will help further extend my existing expertise in human-computer interaction, design, and health informatics to establish my independent informatics research program in patient-centered technologies. Focusing on persons with diabetes, the outcomes of the proposed research will help us understand how to empower persons with diabetes to improve self- efficacy and self-care, while increasing the quality of online health information environment.

Public Health Relevance

Because health professionals'time and resources are expensive, it is challenging for online health communities to engage health professionals in thousands of peer-patient conversations in the same way that health professionals moderate patient conversations in face-to-face patient support groups. To address this challenge I propose developing methods and techniques that maximize the use of already available health professionals' expertise online for online health communities and help patients improve self-efficacy and self-care toward managing chronic disease.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Research Scientist Development Award - Research & Training (K01)
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Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Vanbiervliet, Alan
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Michigan State University
Schools of Arts and Sciences
East Lansing
United States
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Kanthawala, Shaheen; Vermeesch, Amber; Given, Barbara et al. (2016) Answers to Health Questions: Internet Search Results Versus Online Health Community Responses. J Med Internet Res 18:e95
Huh, Jina; Kwon, Bum Chul; Kim, Sung-Hee et al. (2016) Personas in online health communities. J Biomed Inform 63:212-225
Nath, Chinmoy; Huh, Jina; Adupa, Abhishek Kalyan et al. (2016) Website Sharing in Online Health Communities: A Descriptive Analysis. J Med Internet Res 18:e11
Kwon, Bum Chul; Kim, Sung-Hee; Lee, Sukwon et al. (2016) VisOHC: Designing Visual Analytics for Online Health Communities. IEEE Trans Vis Comput Graph 22:71-80
Shin, Jaemyung; Huh, Jina; Kang, Bumsoo et al. (2016) BeUpright: Posture Correction Using Relational Norm Intervention. Proc SIGCHI Conf Hum Factor Comput Syst 2016:6040-6052
Kopf, Lisa M; Graetzer, Simone; Huh, Jina (2015) Videos Influence Behavior Change Measures for Voice and Speech in Individuals with Parkinson's Disease. Proc Wirel Health 2015:
Park, Albert; Hartzler, Andrea L; Huh, Jina et al. (2015) Homophily of Vocabulary Usage: Beneficial Effects of Vocabulary Similarity on Online Health Communities Participation. AMIA Annu Symp Proc 2015:1024-33
Park, Albert; Hartzler, Andrea L; Huh, Jina et al. (2015) Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text. J Med Internet Res 17:e212
Huh, Jina (2015) Clinical Questions in Online Health Communities: The Case of ""See your doctor"" Threads. CSCW 2015:1488-1499
Huh, Jina; Pratt, Wanda (2014) Weaving Clinical Expertise in Online Health Communities. Proc SIGCHI Conf Hum Factor Comput Syst 2014:1355-1364

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