PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 14, 2014eGEMs (Generating Evidence & Methods to improve patient outcomes)27 citationsOpen Access

The Community Health Applied Research Network (CHARN) Data Warehouse: a Resource for Patient-Centered Outcomes Research and Quality Improvement in Underserved, Safety Net Populations

View Full Paper
RLReesa LawsSGSuzanne M. GillespieJPJon Puro

Key Points

Key points are not available for this paper at this time.

Abstract

BACKGROUND: The Community Health Applied Research Network, funded by the Health Resources and Services Administration, is a research network comprising 18 Community Health Centers organized into four Research Nodes (each including an academic partner) and a data coordinating center. The network represents more than 500,000 diverse safety net patients across 11 states. OBJECTIVE: The primary objective of this paper is to describe the development and implementation process of the CHARN data warehouse. METHODS: The methods involved regulatory and governance development and approval, development of content and structure of the warehouse and processes for extracting the data locally, performing validation, and finally submitting data to the data coordinating center. PROGRESS TO DATE: Version 1 of the warehouse has been developed. Tables have been added, the population and the years of electronic health records (EHR) have been expanded for Version 2. CONCLUSIONS: It is feasible to create a national, centralized data warehouse with multiple Community Health Center partners using different EHR systems. It is essential to allow sufficient time: (1) to develop collaborative, trusting relationships among new partners with varied technology, backgrounds, expertise, and interests; (2) to complete institutional, business, and regulatory review processes; (3) to identify and address technical challenges associated with diverse data environments, practices, and resources; and (4) to provide continuing data quality assessments to ensure data accuracy.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Laws et al. (2014) studied this question.

synapsesocial.com/papers/6a036af58d9408baed9bd2a4https://doi.org/10.13063/2327-9214.1097
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Opioid Abuse in the United States and Department of Health and Human Services Actions to Address Opioid-Drug-Related Overdoses and Deaths2015 · 892 citations
  2. 2A Research Registry Uses, Development, and Accuracy1999 · 267 citations
  3. 3The effectiveness of physical activity interventions in socio-economically disadvantaged communities: A systematic review2012 · 146 citations
  4. 4Building a Research Consortium of Large Health Systems: The Cancer Research Network2005 · 178 citations
  5. 5Achieving a Nationwide Learning Health System2010 · 549 citations