TY - GEN
T1 - Automatic Placement Within a Hierarchical Clinical Decision Support Terminology
AU - Resendez, Skyler
AU - LeHouillier, Frank
AU - Mehta, Guresh
AU - Montella, Diane
AU - Nebeker, Jonathan
AU - Holdaway, Andrew
AU - Brown, Steven H.
AU - Elkin, Peter L.
N1 - Publisher Copyright:
© 2026 The Authors.
PY - 2026/5/21
Y1 - 2026/5/21
N2 - Hierarchical terminologies are often used to trigger clinical decision support within electronic health record software systems. This study utilized two algorithms to automate the process of placing clinical terms within a widely used hierarchical decision support terminology. The first is a feature ranking system similar to the TF-IDF algorithm. The second uses the clinical bidirectional encoder representations from transformers machine learning system. In a test set of 100 terms that were originally assigned a placeholder grouper, the correct grouper was identified by one of the two algorithms in 93% of cases. For the 48 cases in which both algorithms agreed with their top grouper, this option was correct 97.9% of the time. These methods can drastically reduce clinician burden.
AB - Hierarchical terminologies are often used to trigger clinical decision support within electronic health record software systems. This study utilized two algorithms to automate the process of placing clinical terms within a widely used hierarchical decision support terminology. The first is a feature ranking system similar to the TF-IDF algorithm. The second uses the clinical bidirectional encoder representations from transformers machine learning system. In a test set of 100 terms that were originally assigned a placeholder grouper, the correct grouper was identified by one of the two algorithms in 93% of cases. For the 48 cases in which both algorithms agreed with their top grouper, this option was correct 97.9% of the time. These methods can drastically reduce clinician burden.
KW - Artificial Intelligence
KW - Clinical Decision Support
KW - Health Information Technology
KW - Natural Language Processing
KW - Structured Hierarchy
UR - https://www.scopus.com/pages/publications/105039957094
U2 - 10.3233/SHTI260206
DO - 10.3233/SHTI260206
M3 - Conference contribution
C2 - 42174882
AN - SCOPUS:105039957094
T3 - Studies in Health Technology and Informatics
SP - 488
EP - 489
BT - Opening the Personal Gate between Technology and Health Care - Proceedings of MIE 2026
A2 - Hagglund, Maria
A2 - Lindskold, Lars
A2 - Lhotska, Lenka
A2 - Marceglia, Sara
A2 - Parimbelli, Enea
A2 - Sacchi, Lucia
A2 - Soda, Paolo
A2 - Stoicu-Tivadar, Lacramioara
A2 - Veltri, Pierangelo
A2 - Vizza, Patrizia
A2 - Giacomini, Mauro
A2 - Delgado, Jaime
A2 - Arvanitis, Theodoros N.
A2 - Andrikopoulou, Elisavet
A2 - Benis, Arriel
A2 - Balestra, Gabriella
A2 - Bellazzi, Riccardo
A2 - Gallos, Parisis G.
A2 - Gatta, Roberto
A2 - Giacobbe, Daniele Roberto
A2 - Giordano, Noemi
PB - IOS Press BV
T2 - 36th Medical Informatics Europe Conference, MIE 2026
Y2 - 25 May 2026 through 28 May 2026
ER -