Thaddeus P Budelier
Overview
Explore the profile of Thaddeus P Budelier including associated specialties, affiliations and a list of published articles.
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12
Citations
179
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Recent Articles
1.
King C, Fritz B, Gregory S, Budelier T, Ben Abdallah A, Kronzer A, et al.
Br J Anaesth
. 2025 Jan;
134(3):671-680.
PMID: 39753404
Background: Telemedicine may help improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied. Methods: This was a single-centre randomised clinical trial of unselected...
2.
Fritz B, King C, Abdelhack M, Chen Y, Kronzer A, Abraham J, et al.
Br J Anaesth
. 2024 Sep;
133(5):1042-1050.
PMID: 39261226
Background: Anaesthesiologists might be able to mitigate risk if they know which patients are at greatest risk for postoperative complications. This trial examined the impact of machine learning models on...
3.
Fritz B, King C, Abdelhack M, Chen Y, Kronzer A, Abraham J, et al.
medRxiv
. 2024 Jun;
PMID: 38826471
Background: Anaesthesiology clinicians can implement risk mitigation strategies if they know which patients are at greatest risk for postoperative complications. Although machine learning models predicting complications exist, their impact on...
4.
King C, Fritz B, Gregory S, Budelier T, Ben Abdallah A, Kronzer A, et al.
medRxiv
. 2024 Jun;
PMID: 38826207
Background: Novel applications of telemedicine can improve care quality and patient outcomes. Telemedicine for intraoperative decision support has not been rigorously studied. Methods: This single centre randomised clinical trial (RCT,...
5.
King C, Gregory S, Fritz B, Budelier T, Ben Abdallah A, Kronzer A, et al.
JAMA Netw Open
. 2023 Sep;
6(9):e2332517.
PMID: 37738052
Importance: Telemedicine for clinical decision support has been adopted in many health care settings, but its utility in improving intraoperative care has not been assessed. Objective: To pilot the implementation...
6.
Fritz B, Pugazenthi S, Budelier T, Pennington B, King C, Avidan M, et al.
Anesth Analg
. 2023 Jun;
138(4):804-813.
PMID: 37339083
Background: Machine learning models can help anesthesiology clinicians assess patients and make clinical and operational decisions, but well-designed human-computer interfaces are necessary for machine learning model predictions to result in...
7.
Fritz B, King C, Mickle A, Wildes T, Budelier T, Oberhaus J, et al.
Br J Anaesth
. 2021 Jul;
127(3):386-395.
PMID: 34243940
Background: Intraoperative EEG suppression duration has been associated with postoperative delirium and mortality. In a clinical trial testing anaesthesia titration to avoid EEG suppression, the intervention did not decrease the...
8.
Budelier T, King C, Goswami S, Bansal A, Gregory S, Wildes T, et al.
F1000Res
. 2020 Nov;
9:1261.
PMID: 33214879
The post-anesthesia care unit (PACU) is a clinical area designated for patients recovering from invasive procedures. There are typically several geographically dispersed PACUs within hospitals. Patients in the PACU can...
9.
Fritz B, Budelier T, Ben Abdallah A, Avidan M
Anesth Analg
. 2020 Apr;
131(3):977-980.
PMID: 32304456
No abstract available.
10.
King C, Abraham J, Kannampallil T, Fritz B, Ben Abdallah A, Chen Y, et al.
F1000Res
. 2020 Mar;
8:2032.
PMID: 32201572
Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity to research the utility of a telemedicine-based control center...