One of the biggest issues faced by governments is the regulation of funds going into healthcare services. An analytical approach to understanding the cost of maintaining different areas of healthcare will allow the development of systems that will enable governments to better manage funding and to identify key issues that need to be addressed.
    A data driven review of hospital performance in terms of cost effectiveness and staff conduct will provide key indicators that determine the strengths and weaknesses of current healthcare systems. These indicators will be used to develop new systems which increase the overall efficiency of healthcare.
    Profiling patient records will help determine drug and equipment demand in order to forecast budgets. This will help in bulk purchasing and the allocation of funds with minimal financial losses. Similarly, the treatment of chronic diseases also needs to be tracked and archived in a database that will enable governments to set out future action plans.
    The implementation of an empirical healthcare management system will allow governments to address key issues in such as the above through gathered data. The decision support system will provide healthcare officials with critical information through statistical analysis in the form of graphics, tables and frequencies. This will greatly reduce risk in strategic decision making as several scenarios can be analysed simultaneously.