Description: Introduction to population health, a collaborative discipline that seeks to leverage all the determinants of health personal behaviors, medical care and the public health infrastructure, as well as the social and economic context at the community and national level to maximize the health of populations.

Description: Medical management programs have traditionally addressed more acute and short-term issues with chronic disease. As LTC becomes an important product in the insurance industry, including disease management is likely to be valuable for reducing costs and prolonging the healthy, premium-paying portion of a claimant's life.

Description: Actuaries can serve an important role by exploring modeling and data analysis techniques to discover predictive patterns and relationships.

Description: As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.

Description: Overview on current trends in medical practice impacting the LTC insurance business with a focus on dementia, risk stratification, and predictive modeling.

Description: Update on Health Section research projects and topics, including new vision and mission statements for the Health Section Council, research and communications projects, and information about the Health Actuarial Research Initiative.

Description: This article sheds light on the various ways machine learning can uncover patterns within data to add unique value and insights to businesses.

Description: Interview with Ian Duncan about his actuarial background and role in predictive analytics.

Description: 2016 marks the 60th anniversary of the Canadian Reinsurance Conference. This one day industry meeting hosting delegates from North America and beyond will be held in Toronto on April 13, 2016 under the theme "ReDefining Leadership".