The Communications Infrastructure of the Community Health Council seeks to create an effective forum where leaders, service providers, and consumers come together to identify problems, develop solutions, and implement change.

The "Communication Infrastructure" of the Community Health Council refers to both the people that will comprise the council and drive its mission as well as the organizational structure and collaborative engagement of the stakeholder groups.

The CHC will rely on three stakeholder groups comprising the new Community Health Council (CHC): government leaders, service providers, and consumers. The purpose of the CHC will be to iteratively select problems, oversee solution development, and provide strategic input on how to implement solutions. PCIC’s seeks to design the Communication Infrastructure, to coordinate the creation of the CHC, and to facilitate the Council’s activities. PCIC aims to enable the creation of our community’s capacity to solve care coordination problems by relying on a strong evidence base and focusing on cost-reduction.

The problem selection process will be data driven and must meet the following criteria:

• Be costly to our community
• Span more than one sector of health and social services
• Be supported by consumers

As in all activities of the CHC, solution development will be data-driven and be supported by iterative, real-time analytics. The solution should meet the following criteria:

If feasible and ethical, RCTs have come to be expected as an initial basic standard for an intervention to be adopted into practice. At PCIC, we expect to test every intervention at implementation through randomization, if it is feasible and ethical to do so. The first RCT will seek to evaluate our High-Need, High-Cost patients care coordination intervention.

However, it is not always prudent, feasible, or ethical to use the randomized design. In addition, invaluable information can be learned from the success of an intervention that has already been implemented and is being evaluated in a context closer to real-world functionality of the intervention. In other words, the rigorous and highly controlled environment of a randomized design often over-estimates the potential of an intervention in impacting the outcome of interest. Designs that approximate randomization, will, hence, be leveraged.