We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Deploying a national clinical text processing infrastructure.
- Authors
McManus, Kimberly F; Stringer, Johnathon Michael; Corson, Neal; Fodeh, Samah; Steinhardt, Steven; Levin, Forrest L; Shotqara, Asqar S; D'Auria, Joseph; Fielstein, Elliot M; Gobbel, Glenn T; Scott, John; Trafton, Jodie A; Taddei, Tamar H; Erdos, Joseph; Tamang, Suzanne R
- Abstract
Objectives Clinical text processing offers a promising avenue for improving multiple aspects of healthcare, though operational deployment remains a substantial challenge. This case report details the implementation of a national clinical text processing infrastructure within the Department of Veterans Affairs (VA). Methods Two foundational use cases, cancer case management and suicide and overdose prevention, illustrate how text processing can be practically implemented at scale for diverse clinical applications using shared services. Results Insights from these use cases underline both commonalities and differences, providing a replicable model for future text processing applications. Conclusions This project enables more efficient initiation, testing, and future deployment of text processing models, streamlining the integration of these use cases into healthcare operations. This project implementation is in a large integrated health delivery system in the United States, but we expect the lessons learned to be relevant to any health system, including smaller local and regional health systems in the United States.
- Subjects
UNITED States; UNITED States. Dept. of Veterans Affairs; SUICIDE prevention; NATURAL language processing; MEDICAL care
- Publication
Journal of the American Medical Informatics Association, 2024, Vol 31, Issue 3, p727
- ISSN
1067-5027
- Publication type
Article
- DOI
10.1093/jamia/ocad249