Results 171 to 180 of about 194,235 (303)

Clean Cut (adaptive, multimodal surgical infection prevention programme) for low‐resource settings: a prospective quality improvement study

BJS (British Journal of Surgery), EarlyView., 2020
Clean Cut is a multimodal, adaptive, checklist‐based infection prevention programme designed to improve compliance with six critical perioperative infection prevention practices. After introducing the programme at five hospitals in Ethiopia, compliance with critical infection prevention standards significantly improved and the relative risk of ...
J. A. Forrester, N. Starr, T. Negussie, D. Schaps, M. Adem, S. Alemu, D. Amenu, N. Gebeyehu, T. Habteyohannes, F. Jiru, A. Tesfaye, E. Wayessa, R. Chen, A. Trickey, S. Bitew, A. Bekele, T. G. Weiser   +16 more
wiley   +1 more source

Machine Learning-Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation.

J Med Internet Res, 2022
Chin KC, Cheng YC, Sun JT, Ou CY, Hu CH, Tsai MC, Ma MH, Chiang WC, Chen AY.   +8 more
europepmc   +1 more source

Insertion Site Dilemma: Rethinking Radial Arterial Catheter Placement for Device Resilience

Critical Care Explorations
The study by Marie et al (2023) discusses their outcomes regarding the distance of radial arterial catheters from the radiocarpal joint and its association to device failure, although authors found no significant difference in failure rates between ...
Timothy R. Spencer, RN, APRN, BHSc, Dip.App.Sc., Int. Care Cert., VA-BC, Guglielmo Imbriaco, RN, MSN, CEN   +1 more
doaj   +1 more source

Sequential ambulance dispatch models for optimizing emergency medical services

, 2022
Yujiro Kawasaki, Shigeki Hagihara, Jun'ichi Miki   +2 more
openalex   +2 more sources

Advances in 3D and 4D Printing of Soft Robotics and Their Applications

Advanced Intelligent Systems, EarlyView.
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu, Changchun Wu, Senyuan Lin, James Lam, Ning Xi, Yonghua Chen   +5 more
wiley   +1 more source

Emergency medical dispatch services across Pan-Asian countries: a web-based survey. [PDF]

BMC Emerg Med, 2020
Lee SCL, Mao DR, Ng YY, Leong BS, Supasaovapak J, Gaerlan FJ, Son DN, Chia BY, Do Shin S, Lin CH, Rao GVR, Hara T, Ong MEH, PAROS Clinical Research Network.   +13 more
europepmc   +1 more source

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing [PDF]

arXiv
An emergency responder management (ERM) system dispatches responders, such as ambulances, when it receives requests for medical aid. ERM systems can also proactively reposition responders between predesignated waiting locations to cover any gaps that arise due to the prior dispatch of responders or significant changes in the distribution of anticipated
arxiv  

Building a Machine Learning-based Ambulance Dispatch Triage Model for Emergency Medical Services

, 2023
Han Wang, Qin Xiang Ng, Shalini Arulanandam, Colin S. Tan, Marcus Eng Hock Ong, Mengling Feng   +5 more
openalex   +1 more source

J‐SUPPORT research policy for oral mucositis associated with cancer treatment

Cancer Medicine, Volume 11, Issue 24, Page 4816-4829, December 2022., 2022
Abstract Background Oral mucositis is one of the main areas of research in supportive and palliative care of cancer patients. However, the methodology of prospective clinical trials on oral mucositis has not been established, despite its uniqueness.
Tomoya Yokota, Takao Ueno, Yoshihiko Soga, Hiroto Ishiki, Yasuhito Uezono, Takehiko Mori, Sadamoto Zenda, Yosuke Uchitomi   +7 more
wiley   +1 more source

Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning [PDF]

arXiv
Reinforcement learning is an emerging approaches to facilitate multi-stage sequential decision-making problems. This paper studies a real-time multi-stage stochastic power dispatch considering multivariate uncertainties. Current researches suffer from low generalization and practicality, that is, the learned dispatch policy can only handle a specific ...
arxiv