Health centers can utilize predictive analytics in a multitude of ways, furthering its consideration and implementation of patient engagement, patient compliance, chronic disease management, regulatory compliance, avoidable deaths, hospital readmissions, public health, waste and abuse, and health outcomes. And this is only the beginning. Predictive analytics is in its infancy within health care, and the exponential pace of technological advancements will identify additional uses and benefits we have yet to consider.
Capital Link and the National Association for Community Health Centers (NACHC) have just released, Predictive Analytics: An Overview for Community Health Centers. The purpose of this publication is to:
- Define predictive analytics
- Provide an overview of its history and development
- Address the data and resources needed to predict a patient’s future behavior
- Identify how a health center can begin utilizing it
- Include specific examples of how it has been successfully used
- Clarify health centers’ understanding and expectations of predictive analytics