Childhood Obesity Preventer

HITEQ conducted an anonymous survey of population health analytic and data integration system needs and impressions among PCA/HCCNs in late 2016 and early 2017. The results of that survey, intended to help those looking to adopt similar systems, are laid out within. This includes ratings of key functionalities, discussion of most important features, and comments from those who have assessed and/ or implemented these tools.

Using predictive analytics in health care is an emerging field, especially for health centers. This tool will provide a brief explanation of the purpose of predictive analytics, the ingredients necessary to apply these methods, and ways that health centers are using this approach to improve results. The objective of this resource is to help health center leadership and staff understand how and when predictive analytics can help them, and to think about how predictive analytics might fit into their data-driven QI program.

This follow up survey is given to the employee following the first 2-4 months of employment. 

Patients experience difficulty in managing their health due to a multitude of reasons.  Through use of consumer health information systems and services (CHISS)  it is hoped that patient’s feelings of control over their health will increase. In order to evaluate the level in which patients feel engaged or activated the study patient survey tools such as the Patient Activation Measure (PAM) can be used to understand the effect that CHISS are having on a health center's population.  

When deploying personal health information systems such as patient portals Health Centers will often encounter challenges in effectively engaging their patient population. Understanding where these challenges are originating can at times be difficult to determine. One obvious area of evaluation is in determining whether the system being deployed is appropriately usable for the population.