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Peer-reviewedLicence not statedJournal of critical care

Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration

  • Oliver T. Nguyen1
  • Douglas A. Wiegmann1
  • James Haddad2
  • Sophia A. Doerr2
  • Arsalan Ahmad1
  • Madeline Oguss2
  • Mary Akel3
  • Ann Wieben4
  • Joseph Reid5
  • Jonathan Allan5
  • Dana Edelson5,6
  • Matthew M. Churpek2
6 affiliations
  1. 1Department of Industrial and Systems Engineering, University of Wisconsin at Madison, Madison, WI, USA
  2. 2Department of Medicine, University of Wisconsin at Madison, Madison, WI, USA
  3. 3Department of Pediatrics, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
  4. 4School of Nursing, University of Wisconsin at Madison, Madison, WI, USA
  5. 5AgileMD, Inc, San Francisco, CA, USA
  6. 6Department of Medicine, University of Chicago, Chicago, IL, USA
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Cite

BibTeXRIS
BibTeX
@article{nguyen2026development,
  title = {{Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration}},
  author = {Oliver T. Nguyen and Douglas A. Wiegmann and James Haddad and Sophia A. Doerr and Arsalan Ahmad and Madeline Oguss and Mary Akel and Ann Wieben and Joseph Reid and Jonathan Allan and Dana Edelson and Matthew M. Churpek},
  journal = {Journal of critical care},
  year = {2026},
  month = sep,
  doi = {10.1016/j.jcrc.2026.155748},
  url = {https://doi.org/10.1016/j.jcrc.2026.155748},
}
RIS
TY  - JOUR
TI  - Development and usability testing of a machine learning clinical decision support tool for suggesting etiologies and treatment of clinical deterioration
AU  - Oliver T. Nguyen
AU  - Douglas A. Wiegmann
AU  - James Haddad
AU  - Sophia A. Doerr
AU  - Arsalan Ahmad
AU  - Madeline Oguss
AU  - Mary Akel
AU  - Ann Wieben
AU  - Joseph Reid
AU  - Jonathan Allan
AU  - Dana Edelson
AU  - Matthew M. Churpek
PY  - 2026
DA  - 2026/09/18
JO  - Journal of critical care
DO  - 10.1016/j.jcrc.2026.155748
UR  - https://doi.org/10.1016/j.jcrc.2026.155748
SN  - 0883-9441
SN  - 1557-8615
ER  -