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A federated EHR network data completeness tracking system.

Hossein Estiri1,2,3, Jeffrey G Klann1,2,3, Sarah R Weiler3

  • 1Laboratory of Computer Science, Massachusetts General Hospital, Boston, Massachusetts, USA.

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|March 30, 2019
PubMed
Summary
This summary is machine-generated.

The federated data completeness tracking system (CTX) enhances data quality in research networks. It empowers sites to identify and improve data completeness for better secondary data use.

Keywords:
data completenessdata qualityelectronic health recordssystems thinking

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Area of Science:

  • Health Informatics
  • Data Science
  • Clinical Research Informatics

Background:

  • Federated clinical data networks require robust methods for ensuring data completeness.
  • Existing top-down technological approaches may be insufficient for maintaining data quality in complex, distributed systems.

Purpose of the Study:

  • To design, pilot, and evaluate a federated data completeness tracking system (CTX).
  • To assess the completeness of research data extracted from electronic health records within the Accessible Research Commons for Health (ARCH) Clinical Data Research Network.

Main Methods:

  • A systems-based approach integrating workflow and open-source tools (DQe-c, Vue) was employed.
  • The CTX utilizes positive feedback loops to involve both technology and human actors.
  • A pilot implementation involved 6 ARCH partner sites from January 2017 to May 2018.

Main Results:

  • The CTX enabled the ARCH network to monitor and adjust data management processes for completeness.
  • Data completeness could be profiled at both network and partner site levels.
  • Interactive visualizations of completeness were highly valued by CTX users.

Conclusions:

  • The CTX increased the ARCH network's capacity to identify data completeness issues.
  • The system empowered ARCH partner sites to actively improve data completeness in their repositories.