IMPACT: a generalisable system for simulating public health interventions
Buchan, I.; Ainsworth, J.; Carruthers, E.; Couch, P.; O'Flaherty, M.; Smith, D.; Williams, R.; Capewell, S.
Studies in Health Technology and Informatics 160(Part 1): 486-490
2010
ISSN/ISBN: 0926-9630 PMID: 20841734 Document Number: 643940
Populations are under-served by local health policies and management of resources, partly because of a lack of realistically complex models to enable a wide range of potential options to be appraised. Rising computing power coupled with advances in machine learning and healthcare information now enables such models to be constructed and executed. However, such models are not generally accessible to public health practitioners because they do not have the requisite technical knowledge or skills. This paper presents a system for creating, executing and analyzing the results of simulated public health and healthcare policy interventions, which is more accessible and usable by modellers and policy-makers alike.