Kevin K Tremper
Overview
Explore the profile of Kevin K Tremper including associated specialties, affiliations and a list of published articles.
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98
Citations
1792
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Recent Articles
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Weller G, Mault J, Ventura M, Adams J, Campbell F, Tremper K
J Clin Med
. 2024 Aug;
13(16).
PMID: 39200889
Continuous vital sign monitoring via wearable technology, combined with algorithm-based notifications, has been utilized for early detection of patient deterioration. In this retrospective observational study, we summarize a large-scale implementation...
3.
Smith J, Mentz G, Leis A, Yuan Y, Stucken C, Chinn S, et al.
BMC Anesthesiol
. 2023 Jul;
23(1):254.
PMID: 37507689
Background: Cranial nerve injury is an uncommon but significant complication of neck dissection. We examined the association between the use of intraoperative neuromuscular blockade and iatrogenic cranial nerve injury during...
4.
Bickler P, Tremper K
Anesthesiology
. 2022 Mar;
136(5):670-671.
PMID: 35303063
No abstract available.
5.
Schechtman S, Shah N, Cloyd B, Tremper K, Healy D
J Clin Anesth
. 2022 Jan;
78:110665.
PMID: 35091374
No abstract available.
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Colquhoun D, Davis R, Tremper T, Mace J, Gombert J, Sheldon W, et al.
BMC Anesthesiol
. 2021 Jul;
21(1):196.
PMID: 34301196
Background: Multifunction surveillance alerting systems have been found to be beneficial for the operating room and labor and delivery. This paper describes a similar system developed for in-hospital acute care...
8.
Klumpner T, Kountanis J, Tremper K
Am J Obstet Gynecol
. 2021 Apr;
225(2):207.
PMID: 33905745
No abstract available.
9.
Douville N, Douville C, Mentz G, Mathis M, Pancaro C, Tremper K, et al.
Br J Anaesth
. 2021 Jan;
126(3):578-589.
PMID: 33454051
Background: Patients with coronavirus disease 2019 (COVID-19) requiring mechanical ventilation have high mortality and resource utilisation. The ability to predict which patients may require mechanical ventilation allows increased acuity of...
10.
Klumpner T, Kountanis J, Bauer M, Carver A, Piehl A, Smith R, et al.
A A Pract
. 2020 Sep;
14(11):e01308.
PMID: 32935951
This survey study evaluates the user experience of an electronic maternal early warning system that generates automated pages. Survey domains included the system's effect on patient care, alarm fatigue, and...