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.
CITATION STYLE
Kobti, Z., Snowdon, A. W., Kent, R. D., Bhandari, G., Rahaman, S. F., Preney, P. D., … Zhu, L. (2011). Towards a “Just-in-Time” Distributed Decision Support System in Health Care Research (pp. 253–285). https://doi.org/10.1007/978-1-4419-7406-8_13
Mendeley helps you to discover research relevant for your work.