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Demystifying Predictive Analytics
Factsheet on Predictive Analytics for Health Centers

Resource Topic: Health Information Technology (HIT)/Data, Quality Improvement, Social Determinants of Health (SDOH), Clinical Issues

Resource Subtopic: Population Health, Research and Data.

Keywords: Data Collection, Management, and Analytics, Surveys.

Year Developed: 2017

Resource Type: Publication.

Primary Audience: Enabling Staff

Language: English

Developed by: HITEQ (See other resources developed by this organization).

Resource Summary: 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 one-page brief outlines the basics of this complex topic. We define predictive analytics and describe how health centers are adopting this innovation. Sources and uses of data for making predictions are discussed, and specific applications of predictive analytics are described.  Specific health center examples are offered to illustrate the potential of predictive analytics for health centers.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit