CDS-Compare: A Web Application for Machine Learning Assisted Curation of Clinical Order Sets
Year: 2022
Type: book-chapter
Abstract: Order sets that adhere to disease-specific guidelines have been shown to increase clinician efficiency and patient safety but curating these order sets, particularly for consistency across multiple sites, is difficult and time consuming. We created software called CDS-Compare to alleviate the burden on expert reviewers in rapidly and effectively curating large databases of order sets. We applied our clustering-based software to a database of NLP-processed order sets extracted from VA's Electronic Health Record, then had subject-matter experts review the web application version of our software for clustering validity.
DOI: 10.3233/shti220502
Authors: Zackary Falls, Steven H. Brown, Naveed Shah, Frank LeHouillier, Randeep Badwal, Kendria Hall, Gillian Franklin, William H. Kelly, Andrew Holdaway, Diane Montella, Linda Wedemeyer, Sarita Keni, Eric Rose, Jonathan R. Nebeker, Peter L. Elkin
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Awards: Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use Disorders, Pain Medication Prescriptions and Misuse Following Treatment for Alcohol Use Disorders, G6276334512, University of Buffalo Clinical and Translational Science Institute, G8725049929, Buffalo Research Innovation in Genomic and Healthcare Technology Education (BRIGHT Education), Buffalo Research Innovation in Genomic and Healthcare Technology (BRIGHT) Short-Term Training and Education
OpenAlex ID: W4281482939
