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Augmented Therapy with Online Support Groups

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Book cover Heterogeneous Data Management, Polystores, and Analytics for Healthcare (DMAH 2018, Poly 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11470))

Abstract

Support groups are often formed in hospitals and clinics to enable group therapy. A support group consists of patients suffering from a same disease. Manual formation of support groups has three drawbacks. First, it is “local”, i.e., a support group for a specific type of cancer in a local hospital may contain patients with different symptoms and treatments. Discussions in such heterogeneous groups are not necessarily useful for their members. Second, support groups are often “static” and do not meet emerging needs of patients. Third, there may not be enough motivation in patients to join such groups. In this paper, we use the social Web to envision a framework for the automatic formation of dynamic support groups. Our framework consists of several components to build support groups, motivate patients to join, and keep them engaged in those groups.

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Notes

  1. 1.

    http://www.uhhospitals.org/health-and-wellness/support-groups.

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Acknowledgment

The author would like to thank Sihem Amer-Yahia for her valuable comments about this paper. This work is partially supported by CDP LIFE project under grant C7H-ID16-PR4-LIFELIG and COFECUB-CAPES 2018 project under grant 40022TB.

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Authors and Affiliations

  1. University of Grenoble Alpes, Grenoble, France

    Behrooz Omidvar-Tehrani

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  1. Behrooz Omidvar-Tehrani
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Correspondence to Behrooz Omidvar-Tehrani .

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Editors and Affiliations

  1. Massachusetts Institute of Technology, Lexington, MA, USA

    Vijay Gadepally

  2. Intel Corporation, Hillsboro, OR, USA

    Timothy Mattson

  3. Massachusetts Institute of Technology, Cambridge, MA, USA

    Michael Stonebraker

  4. Stony Brook University, Stony Brook, NY, USA

    Fusheng Wang

  5. University of Washington, Seattle, WA, USA

    Gang Luo

  6. University of Brasília, Brasilia, Brazil

    George Teodoro

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Omidvar-Tehrani, B. (2019). Augmented Therapy with Online Support Groups. In: Gadepally, V., Mattson, T., Stonebraker, M., Wang, F., Luo, G., Teodoro, G. (eds) Heterogeneous Data Management, Polystores, and Analytics for Healthcare. DMAH Poly 2018 2018. Lecture Notes in Computer Science(), vol 11470. Springer, Cham. https://doi.org/10.1007/978-3-030-14177-6_9

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  • DOI: https://doi.org/10.1007/978-3-030-14177-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14176-9

  • Online ISBN: 978-3-030-14177-6

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