Skip to main content

CPT to RVU conversion improves model performance in the prediction of surgical case length.

Publication ,  Journal Article
Garside, N; Zaribafzadeh, H; Henao, R; Chung, R; Buckland, D
Published in: Sci Rep
July 8, 2021

Methods used to predict surgical case time often rely upon the current procedural terminology (CPT) code as a nominal variable to train machine-learned models, however this limits the ability of the model to incorporate new procedures and adds complexity as the number of unique procedures increases. The relative value unit (RVU, a consensus-derived billing indicator) can serve as a proxy for procedure workload and could replace the CPT code as a primary feature for models that predict surgical case length. Using 11,696 surgical cases from Duke University Health System electronic health records data, we compared boosted decision tree models that predict individual case length, changing the method by which the model coded procedure type; CPT, RVU, and CPT-RVU combined. Performance of each model was assessed by inference time, MAE, and RMSE compared to the actual case length on a test set. Models were compared to each other and to the manual scheduler method that currently exists. RMSE for the RVU model (60.8 min) was similar to the CPT model (61.9 min), both of which were lower than scheduler (90.2 min). 65.2% of our RVU model's predictions (compared to 43.2% from the current human scheduler method) fell within 20% of actual case time. Using RVUs reduced model prediction time by ninefold and reduced the number of training features from 485 to 44. Replacing pre-operative CPT codes with RVUs maintains model performance while decreasing overall model complexity in the prediction of surgical case length.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

July 8, 2021

Volume

11

Issue

1

Start / End Page

14169

Location

England

Related Subject Headings

  • Relative Value Scales
  • Operative Time
  • Models, Theoretical
  • Humans
  • Current Procedural Terminology
  • Cohort Studies
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Garside, N., Zaribafzadeh, H., Henao, R., Chung, R., & Buckland, D. (2021). CPT to RVU conversion improves model performance in the prediction of surgical case length. Sci Rep, 11(1), 14169. https://doi.org/10.1038/s41598-021-93573-2
Garside, Nicholas, Hamed Zaribafzadeh, Ricardo Henao, Royce Chung, and Daniel Buckland. “CPT to RVU conversion improves model performance in the prediction of surgical case length.Sci Rep 11, no. 1 (July 8, 2021): 14169. https://doi.org/10.1038/s41598-021-93573-2.
Garside N, Zaribafzadeh H, Henao R, Chung R, Buckland D. CPT to RVU conversion improves model performance in the prediction of surgical case length. Sci Rep. 2021 Jul 8;11(1):14169.
Garside, Nicholas, et al. “CPT to RVU conversion improves model performance in the prediction of surgical case length.Sci Rep, vol. 11, no. 1, July 2021, p. 14169. Pubmed, doi:10.1038/s41598-021-93573-2.
Garside N, Zaribafzadeh H, Henao R, Chung R, Buckland D. CPT to RVU conversion improves model performance in the prediction of surgical case length. Sci Rep. 2021 Jul 8;11(1):14169.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

July 8, 2021

Volume

11

Issue

1

Start / End Page

14169

Location

England

Related Subject Headings

  • Relative Value Scales
  • Operative Time
  • Models, Theoretical
  • Humans
  • Current Procedural Terminology
  • Cohort Studies