Financial and risk considerations for successful disease management programs

Area of Science:

• Health Economics
• Healthcare Management
• Risk Management

Background:

• Disease management (DM) programs often yield suboptimal results due to clinical, financial, and administrative challenges.
• Existing financial projections may inaccurately estimate revenue and costs by underestimating complicating factors in DM programs.

Purpose of the Study:

• To evaluate the utility of actuarial tools for enhancing financial projections and risk analysis in disease management programs.
• To assist DM companies and health plans in setting appropriate financial targets and identifying suitable diseases for DM initiatives.

Main Methods:

• Utilizing actuarial tools, including risk analysis and risk projection models, to analyze DM contracts.
• Quantifying the impact of cost-driving factors and contract volatility through model-based analysis.

Main Results:

• Actuarial models provide a more robust understanding of DM contract finances compared to experience-based projections.
• These models enable quantification of cost drivers and financial volatility, aiding in setting realistic revenue and capital targets.
• Analysis supports health plans in identifying optimal candidates for DM programs and establishing performance benchmarks.

Conclusions:

• Actuarial tools are crucial for improving the financial predictability and success of disease management programs.
• Accurate financial modeling and risk assessment are essential for sustainable DM program development and investment.
• Implementing these analytical approaches can lead to better resource allocation and performance outcomes in healthcare management.