Postoperative Intensive Care Unit Overtriage: An Application of Machine Learning

Emma K Jones¹, Christopher J Tignanelli^{1

2

3

4}

Affiliations

¹ Department of Surgery, University of Minnesota, Minneapolis, MN.
² Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
³ Center for Clinical Quality and Outcomes, Discovery and Evaluation, University of Minnesota, Minneapolis, MN.
⁴ Program for Clinical Artificial Intelligence, Center for Learning Health Systems Science, University of Minnesota, Minneapolis, MN.

Editorial

Emma K Jones et al. Ann Surg. 2023.

. 2023 Feb 1;277(2):186-187.

doi: 10.1097/SLA.0000000000005541. Epub 2022 Jun 8.

Emma K Jones¹, Christopher J Tignanelli^{1

2

3

4}

¹ Department of Surgery, University of Minnesota, Minneapolis, MN.
² Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
³ Center for Clinical Quality and Outcomes, Discovery and Evaluation, University of Minnesota, Minneapolis, MN.
⁴ Program for Clinical Artificial Intelligence, Center for Learning Health Systems Science, University of Minnesota, Minneapolis, MN.

No abstract available

Conflict of interest statement

The authors report no conflicts of interest.

Postoperative Overtriage to an Intensive Care Unit Is Associated With Low Value of Care.
Loftus TJ, Ruppert MM, Ozrazgat-Baslanti T, Balch JA, Shickel B, Hu D, Efron PA, Tighe PJ, Hogan WR, Rashidi P, Upchurch GR Jr, Bihorac A. Loftus TJ, et al. Ann Surg. 2023 Feb 1;277(2):179-185. doi: 10.1097/SLA.0000000000005460. Epub 2022 Jul 6. Ann Surg. 2023. PMID: 35797553 Free PMC article.

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