Solutions

Population Based Health

Population-based health management encompasses the ability to:

• assess the health states and health needs of a target population;
• implement and evaluate interventions that are designed to improve the health of that population; and
• efficiently and effectively provide care for members of that population in a way that is consistent with the community’s cultural, policy and health resource values.

Modern population-based health management is complex, requiring a multiple set of skills (medical, political, technological, mathematical etc.) to be unified to provide efficient and effective health care and health guidance to a population. This task requires the forward looking ability of modern risk management approaches that not only guide how a health system responds to current population health issues, but also how a health system can be managed to better respond to future potential population health issues.

The trademark of RiskAnalytica, as well as its original approach in defining and solving problems specific to the population-based management of disease, resides in the execution of its interdisciplinary and scientifically derived risk management framework. This framework is called Life at Risk™.

RiskAnalytica has conducted several population-based decision analysis as part of health risk management projects. These projects are conducted by the Population-Based Health Division that works closely with the Quantitative Analysis, Economic, and Risk Management Divisions to perform:

• Population Life Impacts Simulations: Measurement of the future potential impact of disease upon the population with respect to new disease cases, prevalence, premature death as well as potential years of life lost from disability and death;
• Labour Force Life Impacts Simulations: Measurement of the future potential impact of disease upon the labour force with respect to new disease cases, prevalence, premature death and potential years of life lost from disability and death;
• Economic Impacts of Disease Simulations: Measurement of the future potential impact of disease upon private sector disposable income impacts (wages, corporate profits, private health care costs) and public sector disposable income impacts (personal income tax, corporate income tax, consumption taxes, publicly funded health care costs).
• The members of this Division are experienced in using advanced technology for health care information management and statistical modeling.