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Modeling the socially intelligent communication of health information to a patient's personal social network

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Modeling the socially intelligent communication of health information to a patient's personal social network. / Moncur, Wendy; Reiter, Ehud; Masthoff, Judith; Carmichael, Alex.

In: IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 2, 03.2010, p. 319-325.

Research output: Contribution to journalArticle

Harvard

Moncur, W, Reiter, E, Masthoff, J & Carmichael, A 2010, 'Modeling the socially intelligent communication of health information to a patient's personal social network' IEEE Transactions on Information Technology in Biomedicine, vol 14, no. 2, pp. 319-325., 10.1109/TITB.2009.2035361

APA

Moncur, W., Reiter, E., Masthoff, J., & Carmichael, A. (2010). Modeling the socially intelligent communication of health information to a patient's personal social network. IEEE Transactions on Information Technology in Biomedicine, 14(2), 319-325. 10.1109/TITB.2009.2035361

Vancouver

Moncur W, Reiter E, Masthoff J, Carmichael A. Modeling the socially intelligent communication of health information to a patient's personal social network. IEEE Transactions on Information Technology in Biomedicine. 2010 Mar;14(2):319-325. Available from: 10.1109/TITB.2009.2035361

Author

Moncur, Wendy; Reiter, Ehud; Masthoff, Judith; Carmichael, Alex / Modeling the socially intelligent communication of health information to a patient's personal social network.

In: IEEE Transactions on Information Technology in Biomedicine, Vol. 14, No. 2, 03.2010, p. 319-325.

Research output: Contribution to journalArticle

Bibtex - Download

@article{f51332a25cb0406d8c2f9043336378ea,
title = "Modeling the socially intelligent communication of health information to a patient's personal social network",
keywords = "Human factors, medical information systems, modeling, personal communication networks, SUPPORT, SIZE, CARE, STRESS, LIFE",
author = "Wendy Moncur and Ehud Reiter and Judith Masthoff and Alex Carmichael",
note = "Copyright 2010 Elsevier B.V., All rights reserved.",
year = "2010",
doi = "10.1109/TITB.2009.2035361",
volume = "14",
number = "2",
pages = "319--325",
journal = "IEEE Transactions on Information Technology in Biomedicine",
issn = "1089-7771",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Modeling the socially intelligent communication of health information to a patient's personal social network

A1 - Moncur,Wendy

A1 - Reiter,Ehud

A1 - Masthoff,Judith

A1 - Carmichael,Alex

AU - Moncur,Wendy

AU - Reiter,Ehud

AU - Masthoff,Judith

AU - Carmichael,Alex

PY - 2010/3

Y1 - 2010/3

N2 - <p>This study examined how emotional proximity and gender affect people's information requirements when someone that they know is chronically or critically ill. In an online study, participants were asked what information they would want to receive about members of their social network in three categories: someone who was very close, someone who was not so close, and someone who was not close at all. Our results show that the information that people want can be predicted from their gender and emotional proximity to the network member. The closer the relationship with the patient, the more information people want. Women want more information than men. We propose a model for the socially intelligent communication of health information across the social network, and discuss areas for its application.</p>

AB - <p>This study examined how emotional proximity and gender affect people's information requirements when someone that they know is chronically or critically ill. In an online study, participants were asked what information they would want to receive about members of their social network in three categories: someone who was very close, someone who was not so close, and someone who was not close at all. Our results show that the information that people want can be predicted from their gender and emotional proximity to the network member. The closer the relationship with the patient, the more information people want. Women want more information than men. We propose a model for the socially intelligent communication of health information across the social network, and discuss areas for its application.</p>

KW - Human factors

KW - medical information systems

KW - modeling

KW - personal communication networks

KW - SUPPORT

KW - SIZE

KW - CARE

KW - STRESS

KW - LIFE

UR - http://www.scopus.com/inward/record.url?scp=77949674675&partnerID=8YFLogxK

U2 - 10.1109/TITB.2009.2035361

DO - 10.1109/TITB.2009.2035361

M1 - Article

JO - IEEE Transactions on Information Technology in Biomedicine

JF - IEEE Transactions on Information Technology in Biomedicine

SN - 1089-7771

IS - 2

VL - 14

SP - 319

EP - 325

ER -

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