Results 21 to 30 of about 2,654,725 (243)
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 +7 more
wiley +1 more source
Nursing Open, 2023 Aim To explore the nursing workforce allocation in intensive care units (ICUs) of COVID‐19‐designated hospitals during the epidemic peak in China. Design A nationwide cross‐sectional online survey.
Hong‐fei Ren +7 more
doaj +1 more source
Cancer, Volume 129, Issue 2, Page 272-282, 15 January 2023., 2023 Abstract Background This study presents the preliminary results of a randomized controlled trial (RCT) initiated in January 2006 in India to evaluate the effectiveness of clinical breast examination (CBE) in reducing breast cancer mortality as compared to a no‐screening control group reported significant downstaging in the intervention group.
Kunnambath Ramadas +11 more
wiley +1 more source
BMC Research Notes, 2012 Background Part-time training (PTT) is accessed by approximately 10% of Australian obstetrics and gynaecology trainees, a small but increasing minority which reflects the growing demand for improved work/life balance amongst the Australian medical ...
Henry Amanda +3 more
doaj +1 more source
An Evolutionary Squeaky Wheel Optimisation Approach to Personnel Scheduling [PDF]
IEEE Transactions on Evolutionary Computation, 13 (2), 433-443,
2009, 2009 The quest for robust heuristics that are able to solve more than one problem is ongoing. In this paper, we present, discuss and analyse a technique called Evolutionary Squeaky Wheel Optimisation and apply it to two different personnel scheduling problems.
arxiv +1 more source
Workload forecasting for a call center: Methodology and a case study [PDF]
Annals of Applied Statistics 2009, Vol. 3, No. 4, 1403-1447, 2010 Today's call center managers face multiple operational decision-making tasks. One of the most common is determining the weekly staffing levels to ensure customer satisfaction and meeting their needs while minimizing service costs. An initial step for producing the weekly schedule is forecasting the future system loads which involves predicting both ...
arxiv +1 more source
Stochastic project management: Multiple projects with multi-skilled human resources [PDF]
, 2018 This paper presents two stochastic optimization approaches for simultaneous project scheduling and personnel planning, extending a deterministic model previously developed by Heimerl and Kolisch. For the problem of assigning work packages to multi-skilled human resources with heterogeneous skills, the uncertainty on work package processing times is ...
arxiv +1 more source
Nurse Scheduling Problem via PyQUBO [PDF]
arXiv, 2023 The nurse scheduling problem is a critical optimization challenge in healthcare management. It aims to balance staffing demands, nurse satisfaction, and patient care quality. Corresponding to the constraints inherent in this scheduling problem, we detail the mathematical formulation step-by-step.
arxiv
A stochastic integer programming approach to reserve staff scheduling with preferences [PDF]
, 2022 Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant of the personnel scheduling problem under unknown demand by considering employee satisfaction via endogenous uncertainty depending on the combination of their preferred and received schedules. We
arxiv +1 more source
Work patterns and a tendency among Polish nurses to leave their job
Medycyna Pracy, 2019 Background Work patterns are important factors in employees’ decisions to change their job or leave their profession. The majority of nurses in Poland are women who play other social roles besides work.
Dorota Kilańska +4 more
doaj +1 more source