How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization
Name
GhassemiEMBC2018.pdf
Description
Accepted version
Size
5.79 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Ghassemi, Mohammad Mahdi
Al-Hanai, Tuka
Raffa, Jesse D
Mark, Roger G
Nemati, Shamim
Chokshi, Falgun H.
Date Issued
October 2018
Journal
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Ghassemi, Mohammad Mahdi et al. "How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization." 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018, Honolulu, Hawaii, USA, Institute of Electrical and Electronics Engineers (IEEE), October 2018 © 2018 IEEE
Version
Author's final manuscript
Abstract
The judgment of intensive care unit (ICU) providers is difficult to measure using conventional structured electronic medical record (EMR) data. However, provider sentiment may be a proxy for such judgment. Utilizing 10 years of EMR data, this study evaluates the association between provider sentiment and diagnostic imaging utilization. We extracted daily positive / negative sentiment scores of written provider notes, and used a Poisson regression to estimate sentiment association with the total number of daily imaging reports. After adjusting for confounding factors, we found that (1) negative sentiment was associated with increased imaging utilization (p < 0.01), (2) sentiment's association was most pronounced at the beginning of the ICU stay (p < 0.01), and (3) the presence of any form of sentiment increased diagnostic imaging utilization up to a critical threshold (p < 0.01). Our results indicate that provider sentiment may clarify currently unexplained variance in resource utilization and clinical practice.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/embc.2018.8513325
