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Deploying a national clinical text processing infrastructure.

Kimberly F McManus1, Johnathon Michael Stringer2, Neal Corson3

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Summary
This summary is machine-generated.

The Department of Veterans Affairs implemented a national clinical text processing infrastructure to improve healthcare. This scalable model, demonstrated through cancer case management and suicide prevention, offers a replicable approach for diverse clinical applications.

Keywords:
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Area of Science:

  • Natural Language Processing in Healthcare
  • Clinical Informatics
  • Health Services Research

Background:

  • Operational deployment of clinical text processing in healthcare faces significant challenges.
  • The Department of Veterans Affairs (VA) initiated a project to establish a national clinical text processing infrastructure.

Observation:

  • Two foundational use cases, cancer case management and suicide/overdose prevention, were developed.
  • These use cases demonstrated the practical, large-scale implementation of text processing using shared services.

Findings:

  • Implementation insights revealed commonalities and differences, forming a replicable model for future text processing applications.
  • The project facilitated efficient initiation, testing, and deployment of text processing models.

Implications:

  • Streamlined integration of text processing into healthcare operations is now possible.
  • Lessons learned from this large-scale implementation are applicable to various health systems, including smaller ones.