Understanding EHRs, Analytics, Data Warehouses and HIE Repositories
A HITEQ Center-Developed White Paper
Year Developed: 2016
Resource Type: Publication.Primary Audience: Enabling Staff
Language(s): English
Developed by: HITEQ (See other resources developed by this organization).
Resource Summary: The goal of this paper is to clarify the roles of several health care data technologies that are often confusing to people, including Electronic Health Record (EHR) Databases, Analytic Systems and Data Warehouses, and Health Information Exchange (HIE) Data Repositories. Health Centers entering the realms of Data-driven Performance Measurement and Quality Improvement may find themselves mired in a bewildering assortment of tools, products and terminologies. There are multiple ways in which Health Centers use information, and for better or worse, multiple technologies designed to most efficiently meet their needs. One of the leading sources of confusion emanates from the oft-used term “data aggregation”. We aggregate data because we want to improve our insights into the data and thereby make better and more timely decisions. Data aggregation, put simply, is the assembly of electronic information from multiple sources for these purposes.
Resource Topic: Health Information Technology (HIT)/Data
Resource Subtopic: Electronic Health Records (EHRs).
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 HRSA.gov.