HITEQ Resources & Events

Capital Link has published this overview of predictive analytics for community health centers.

Developed and made available by Capital Link and the National Association of Community Health Centers (NACHC), this overview provides health centers with a definition of predictive analytics, its history and development, the data and resources needed to predict a patient’s future behavior, and how health centers can begin utilizing it. It also includes specific examples of organizations that have successfully used predictive analytics. This study was supported by the Health Resources and Services Administration. 

Targeting care and effective planning for improving population health requires good information about current health status and the factors that will influence that health status.  This report identifies the metrics – the population health outcomes and important risk and protective factors – that, taken together, can describe the health of a community and drive action. Selection of these metrics is  based on a systematic review of professional and academic judgment over the past three decades.  

This features a presentation entitled “The Power of Demographic Data:  Leveraging Demographic Data to Increase Access in a Data-Driven Culture”,  and is one of five presenting use cases for analytics.  It was recorded during the Safety Net Analytics Program of 2015 that discusses real-world applications of analytics emerging under new payment models. The use cases presented are health-center specific and provide examples of validating and applying UDS data entities.  The discussion includes ways to gather demographic data from patients, how to collect usable data, extracting actionable data and the implications of demographic variation on care and information delivery.

This health center-tested Dental Dashboard, created by NNOHA and partners, is an interactive resource that allows users to monitor a set of dental measures through an online data collection tool and a chart presentation tool, allowing monitoring of performance and opportunities for QI. A case study is also included.

This mini-case study describes Petaluma Health Center, a Federally Qualified Health Center’s approach to incorporating social determinants data into their daily workflows.  They then used Tableau visualization to represent the data to enable them to target interventions in the community.  Petaluma’s lessons learned and next steps are discussed, and a link to the full, detailed case study is provided.