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Collective Health Intelligence: A Tool for Public Health

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Future Visions on Biomedicine and Bioinformatics 1

Part of the book series: Communications in Medical and Care Compunetics ((CMCC,volume 1))

Abstract

Web 3.0 is fast approaching. The European Union Future Internet Assembly, the roadmap for the Web heading towards semantic interoperability and building on the UK’s adoption of the Internet and social media are accelerating this development. A number of health portals are opening, some with facilities for the capture of Patient Based Records. Collective Intelligence will be generated that, applied to health, has potential to support Public Health policy. By using the Internet, millions of people in the course of their daily activities contribute to uncertified data stores, some explicitly collaborating to create collective knowledge bases, some contributing implicitly through the patterns of their choices and actions. An application of soft computing, called Collective Health Intelligence, that reasons uncertified and certified data could enhance the social pool of existing health knowledge available to the public health agencies. Collective Health Intelligence could be used to complement national programmes by employing innovative sampling techniques, cost-effectively generating anonymous data trends that would quantify policy, indicate epidemiological effects and supply metrics to test policy efficacy.

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Acknowledgments

The authors would like to acknowledge the Public Health, Research and Development Department of Health and the i4i Programme of the National Institutes for Health Research in the UK for financially supporting the research scoping study and background material for this chapter.

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Marsh, A., Carroll, D., Foggie, R. (2011). Collective Health Intelligence: A Tool for Public Health. In: Bos, L., Carroll, D., Kun, L., Marsh, A., Roa, L. (eds) Future Visions on Biomedicine and Bioinformatics 1. Communications in Medical and Care Compunetics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/8754_2010_7

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  • DOI: https://doi.org/10.1007/8754_2010_7

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