Matt Denison

To stay in sync with healthcare’s transition to value-based care, payers today must develop the analytics capability to support alternative payment models and drive more value to their members. Payers can follow an analytics roadmap to develop a strategy that extends their data, analytics, and risk management expertise to meet growing demands.

The analytics roadmap helps the payer meet these common challenges of establishing a data-driven culture:

• Recruiting and retaining high-quality providers in a competitive market.
• Managing increasing numbers of high-risk/high-cost members with limited resources.
• Efficiently reacting to federal and state legislative and payment changes.
•控制保健服务和药品费用的上升。

To stay in sync with healthcare’s transition to value-based care, payers today must develop the analytics capability to support alternative payment models and drive more value to their members. Payers can follow an analytics roadmap to develop a strategy that extends their data, analytics, and risk management expertise to meet growing demands.

The analytics roadmap helps the payer meet these common challenges of establishing a data-driven culture:
1. Recruiting and retaining high-quality providers in a competitive market.
2. Managing increasing numbers of high-risk/high-cost members with limited resources.
3. Efficiently reacting to federal and state legislative and payment changes.
4. Controlling the rising costs of healthcare services and pharmaceuticals.

随着医疗保健从按服务收费过渡到基于价值的支付，支付机构越来越多地关注人口健康管理战略，以帮助他们降低成本。To manage individuals within their populations, payers must become data driven and establish the technical infrastructure to support expanding access to and reliance on data from across the continuum of care.

To fully leverage the breadth and depth of data that an effective health management strategy requires, payers must address six key challenges of becoming data driven:

1. Data availability.
2. Data access.
3. Data aggregation.
4. Data analysis.
5. Data adoption.
6. Data application.