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Health Care Crowds: Collective Intelligence in Public Health

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  • Prpić, John

Abstract

For what purposes are crowds being implemented in health care? Which crowdsourcing methods are being used? This work begins to answer these questions by reporting the early results of a systematic literature review of 110 pieces of relevant research. The results of this exploratory research in progress reveals that collective intelligence outcomes are being generated in three broad categories of public health care; health promotion, health research, and health maintenance, using all three known forms of crowdsourcing. Stemming from this fundamental analysis, some potential implications of the research are discussed and useful future research is outlined. Prpić, J., (2015). Health Care Crowds: Collective Intelligence in Public Health. Collective Intelligence 2015. Center for the Study of Complex Systems, University of Michigan.

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  • Prpić, John, 2017. "Health Care Crowds: Collective Intelligence in Public Health," SocArXiv 4ca42, Center for Open Science.
    • Handle: RePEc:osf:socarx:4ca42
    DOI: 10.31219/osf.io/4ca42
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    References listed on IDEAS

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    1. Triparna de Vreede & Cuong Nguyen & Gert-Jan de Vreede & Imed Boughzala & Onook Oh & Roni Reiter-Palmon, 2013. "A theoretical model of user engagement in crowdsourcing," Grenoble Ecole de Management (Post-Print) hal-01244682, HAL.
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