Abstract
The application of semi-automated decision support systems in health care faces challenging tasks mainly in generating evidence-based recommendations in a short critical time window. Traditional data collection and survey methodology to generate evidence for the decision support systems also suffers from a slow turn-around time. This chapter reports on a multi-disciplinary project between computer and health sciences to introduce a cumulative framework encapsulating innovative distributed data collection methodology, coupled with an intelligent multi-agent, socially driven decision support system. We report on the current design and implementation aspects of this integrated system with a case study in injury prevention to verify the initial model.
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Acknowledgement
The authors acknowledge the work of the USMS team and volunteers who worked on collecting the survey data throughout Canada. RDK and AWS thank Research in Motion for providing Blackberry units for use in this research and NCE Auto21 and NSERC Discovery for funding support.
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Kobti, Z. et al. (2011). Towards a “Just-in-Time” Distributed Decision Support System in Health Care Research. In: Burstein, F., Brézillon, P., Zaslavsky, A. (eds) Supporting Real Time Decision-Making. Annals of Information Systems, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7406-8_13
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